Yonina C. Eldar

Orcid: 0000-0003-4358-5304

Affiliations:
  • Technion - Israel Institute of Technology, Haifa, Israel


According to our database1, Yonina C. Eldar authored at least 818 papers between 2000 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to compressed sampling, generalized sampling, and convex optimization".

Timeline

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Bibliography

2024
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks.
IEEE Trans. Wirel. Commun., October, 2024

Precoding for Multi-Cell ISAC: From Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing.
IEEE Trans. Wirel. Commun., October, 2024

Artificial Intelligence-Empowered Hybrid Multiple-input/multiple-output Beamforming: Learning to Optimize for High-Throughput Scalable MIMO.
IEEE Veh. Technol. Mag., September, 2024

Guest Editorial: Federated Learning for Industrial Internet of Things.
IEEE Internet Things Mag., September, 2024

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels.
IEEE Wirel. Commun., August, 2024

On the Learning of Digital Self-Interference Cancellation in Full-Duplex Radios.
IEEE Wirel. Commun., August, 2024

Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference.
IEEE Trans. Wirel. Commun., August, 2024

Performance Analysis of RIS-Aided Index Modulation With Greedy Detection Over Rician Fading Channels.
IEEE Trans. Wirel. Commun., August, 2024

Deep Internal Learning: Deep learning from a single input.
IEEE Signal Process. Mag., July, 2024

Guest Editorial: Sustainable Big AI Model for Wireless Networks.
IEEE Wirel. Commun., June, 2024

Beamforming in Integrated Sensing and Communication Systems With Reconfigurable Intelligent Surfaces.
IEEE Trans. Wirel. Commun., May, 2024

FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable IoMT Devices.
IEEE Internet Things J., May, 2024

Multi-Functional Reconfigurable Intelligent Surface: System Modeling and Performance Optimization.
IEEE Trans. Wirel. Commun., April, 2024

Multi-Functional RIS: Signal Modeling and Optimization.
IEEE Trans. Veh. Technol., April, 2024

FedXPro: Bayesian Inference for Mitigating Poisoning Attacks in IoT Federated Learning.
IEEE Internet Things J., April, 2024

Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.
IEEE Veh. Technol. Mag., March, 2024

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI.
IEEE Trans. Wirel. Commun., March, 2024

Signal Detection in MIMO Systems With Hardware Imperfections: Message Passing on Neural Networks.
IEEE Trans. Wirel. Commun., January, 2024

Near-Field Sparse Channel Representation and Estimation in 6G Wireless Communications.
IEEE Trans. Commun., January, 2024

High accurate detection method for aortic valve opening of seismocardiography signals.
Biomed. Signal Process. Control., January, 2024

Near-Field Wideband Secure Communications: An Analog Beamfocusing Approach.
IEEE Trans. Signal Process., 2024

Deep Unfolding Transformers for Sparse Recovery of Video.
IEEE Trans. Signal Process., 2024

Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach.
IEEE Trans. Signal Process., 2024

Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding.
IEEE Trans. Signal Process., 2024

Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System.
IEEE Trans. Signal Process., 2024

Adaptive Model Pruning and Personalization for Federated Learning Over Wireless Networks.
IEEE Trans. Signal Process., 2024

Kernel Based Reconstruction for Generalized Graph Signal Processing.
IEEE Trans. Signal Process., 2024

Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound Analysis and Estimator Design.
IEEE Trans. Signal Process., 2024

MSE-Based Training and Transmission Optimization for MIMO ISAC Systems.
IEEE Trans. Signal Process., 2024

Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation.
IEEE Trans. Signal Process., 2024

Reshaping the ISAC Tradeoff Under OFDM Signaling: A Probabilistic Constellation Shaping Approach.
IEEE Trans. Signal Process., 2024

Hardware Prototype of a Time-Encoding Sub-Nyquist ADC.
IEEE Trans. Instrum. Meas., 2024

Hardware Implementation of Task-Based Quantization in Multiuser Signal Recovery.
IEEE Trans. Ind. Electron., 2024

Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution.
IEEE Trans. Computational Imaging, 2024

Real-Time Model-Based Quantitative Ultrasound and Radar.
IEEE Trans. Computational Imaging, 2024

Unrolled denoising networks provably learn optimal Bayesian inference.
CoRR, 2024

Decentralized MIMO Systems with LMMSE Receivers and Imperfect CSI.
CoRR, 2024

Learned Trimmed-Ridge Regression for Channel Estimation in Millimeter-Wave Massive MIMO.
CoRR, 2024

Hybrid Near-Far Field Channel Estimation for Holographic MIMO Communications.
CoRR, 2024

Data-driven Bayesian State Estimation with Compressed Measurement of Model-free Process using Semi-supervised Learning.
CoRR, 2024

Integrated Near Field Sensing and Communications Using Unitary Approximate Message Passing Based Matrix Factorization.
CoRR, 2024

Movable Antenna-Aided Hybrid Beamforming for Multi-User Communications.
CoRR, 2024

Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy.
CoRR, 2024

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.
CoRR, 2024

Pragmatic Communication in Multi-Agent Collaborative Perception.
CoRR, 2024

Modulo Sampling of FRI Signals.
IEEE Access, 2024

Model-Driven Sensing-Node Selection for Maneuvering Target Tracking.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Channel Cycle Time: A New Measure of Short-Term Fairness.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Beam-Focusing for Near-Field ISAC Systems.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Partial Model Pruning and Personalization for Wireless Federated Learning.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Modulo Sampling with 1-Bit Side Information: Performance Guarantees in the Presence of Quantization.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Non-Linear Analog Processing Gains in Task-Based Quantization.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Analog Beamforming for Wideband Secure Communications.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Optical Integrated Sensing and Communication with Light-Emitting Diode.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

RIS-Empowered Near-Field Imaging in NLOS Scenarios.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Sparse Channel Representation and Estimation in Near Field Communications.
Proceedings of the IEEE International Conference on Acoustics, 2024

Unitary Approximate Message Passing for Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Stochastic Gradient Approach for Communication Efficient Confederated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Recursive-Tail-Fista for Sparse Signal Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Sensor Selection with Deterministic Priors for DoA Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2024

Modulo Sampling and Recovery in Shift-Invariant Spaces.
Proceedings of the IEEE International Conference on Acoustics, 2024

Digital Task-Oriented Communication with Hardware-Limited Task-Based Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Leaky Waveguide Antennas for Downlink Wideband THz Communications.
Proceedings of the IEEE International Conference on Acoustics, 2024

Localization and Tracking of Gold Nanoparticles Using mmWave FMCW Radar.
Proceedings of the IEEE International Conference on Acoustics, 2024

Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging.
Proceedings of the 32nd European Signal Processing Conference, 2024

Multimodal Learning for Integrated Sensing and Communication Networks.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Numerical evaluation on sub-Nyquist spectrum reconstruction methods.
Frontiers Comput. Sci., December, 2023

Guest Editorial: Semantic Communications: Transmission Beyond Shannon.
IEEE Commun. Mag., November, 2023

UAV-Mounted Multi-Functional RIS for Combating Eavesdropping in Wireless Networks.
IEEE Wirel. Commun. Lett., October, 2023

Online Meta-Learning for Hybrid Model-Based Deep Receivers.
IEEE Trans. Wirel. Commun., October, 2023

Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation.
IEEE Trans. Veh. Technol., September, 2023

Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing.
IEEE Signal Process. Mag., September, 2023

Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization.
IEEE J. Sel. Areas Commun., September, 2023

Seventy Years of Radar and Communications: The road from separation to integration.
IEEE Signal Process. Mag., July, 2023

A hardware prototype of wideband high-dynamic range analog-to-digital converter.
IET Circuits Devices Syst., July, 2023

Sparsity-Based Multi-Person Non-Contact Vital Signs Monitoring via FMCW Radar.
IEEE J. Biomed. Health Informatics, June, 2023

Twenty-Five Years of Signal Processing Advances for Multiantenna Communications: From theory to mainstream technology.
IEEE Signal Process. Mag., June, 2023

Model-Based Deep Learning.
Proc. IEEE, May, 2023

Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces.
IEEE Trans. Commun., April, 2023

Communication-Efficient Distributed Learning: An Overview.
IEEE J. Sel. Areas Commun., April, 2023

Guest Editorial Communication-Efficient Distributed Learning Over Networks.
IEEE J. Sel. Areas Commun., April, 2023

6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing.
IEEE Commun. Mag., April, 2023

Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods.
IEEE Signal Process. Mag., March, 2023

RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments.
IEEE Robotics Autom. Lett., March, 2023

Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges.
IEEE Wirel. Commun., February, 2023

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing.
IEEE J. Sel. Top. Signal Process., January, 2023

Guest Editorial Distributed Signal Processing for Edge Learning in B5G IoT Networks.
IEEE J. Sel. Top. Signal Process., January, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.
IEEE Trans. Signal Process., 2023

High-Order Cumulants Based Sparse Array Design Via Fractal Geometries - Part II: Robustness and Mutual Coupling.
IEEE Trans. Signal Process., 2023

High-Order Cumulants Based Sparse Array Design Via Fractal Geometries - Part I: Structures and DOFs.
IEEE Trans. Signal Process., 2023

Unrolled Compressed Blind-Deconvolution.
IEEE Trans. Signal Process., 2023

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization.
IEEE Trans. Signal Process., 2023

RTSNet: Learning to Smooth in Partially Known State-Space Models.
IEEE Trans. Signal Process., 2023

Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation.
IEEE Trans. Signal Process., 2023

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
IEEE Trans. Signal Process., 2023

Learning-Based Reconstruction of FRI Signals.
IEEE Trans. Signal Process., 2023

Graph Signal Sampling Under Stochastic Priors.
IEEE Trans. Signal Process., 2023

Learning to Estimate Without Bias.
IEEE Trans. Signal Process., 2023

Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers.
IEEE Trans. Signal Process., 2023

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations.
IEEE Trans. Inf. Theory, 2023

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification.
IEEE Netw., 2023

Model-Based Deep Learning.
Found. Trends Signal Process., 2023

Edge Accelerated Robot Navigation with Hierarchical Motion Planning.
CoRR, 2023

Channel Estimation with Dynamic Metasurface Antennas via Model-Based Learning.
CoRR, 2023

Time-Domain Channel Estimation for Extremely Large MIMO THz Communications with Beam Squint.
CoRR, 2023

Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding.
CoRR, 2023

Signal Processing and Learning for Next Generation Multiple Access in 6G.
CoRR, 2023

Robust Transceiver Design for Covert Integrated Sensing and Communications With Imperfect CSI.
CoRR, 2023

Unfolding for Joint Channel Estimation and Symbol Detection in MIMO Communication Systems.
CoRR, 2023

RIS-Aided Index Modulation with Greedy Detection over Rician Fading Channels.
CoRR, 2023

Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks.
CoRR, 2023

Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding.
CoRR, 2023

Near-Field Beamforming for STAR-RIS Networks.
CoRR, 2023

25 Years of Signal Processing Advances for Multiantenna Communications.
CoRR, 2023

AI-Empowered Hybrid MIMO Beamforming.
CoRR, 2023

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
CoRR, 2023

Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding.
CoRR, 2023

Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals.
IEEE Access, 2023

Interception Probability Versus Capacity in Wideband Systems: The Benefits of Peaky Signaling.
IEEE Access, 2023

One-shot Learning for Channel Estimation in Massive MIMO Systems.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Joint Channel Estimation and Symbol Detection in Overloaded MIMO Using ADMM.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach.
Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Generalization and Estimation Error Bounds for Model-based Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Convergent Neural Network for Non-Blind Image Deblurring.
Proceedings of the IEEE International Conference on Image Processing, 2023

DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Near-field Localization with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2023

Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Functional Reconfigurable Intelligent Surface.
Proceedings of the IEEE International Conference on Acoustics, 2023

Lasso-Based Fast Residual Recovery For Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Semi-Federated Learning for Edge Intelligence with Imperfect SIC.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

High-Dynamic Range ADC for Finite-Rate-of-Innovation Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023

Joint Radar and Communication Receiver Processing Based on Sparse Bayesian Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2023

Integrated Sensing and Full-Duplex Communication: Joint Transceiver Beamforming and Power Allocation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Sparse Non-Contact Multiple People Localization and Vital Signs Monitoring Via FMCW Radar.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hardware-Limited Non-Uniform Task-Based Quantizers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Transceiver Design for ISAC with Imperfect CSI.
Proceedings of the IEEE Global Communications Conference, 2023

Spectrum Breathing: A Spectrum-Efficient Method for Protecting Over-the-Air Federated Learning Against Interference.
Proceedings of the IEEE Global Communications Conference, 2023

Hybrid RIS-Assisted MIMO Integrated Sensing and Communication System.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Probabilistic Constellation Shaping for OFDM-Based ISAC Signaling.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital Converters.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems.
IEEE J. Sel. Areas Inf. Theory, September, 2022

Beam Focusing for Near-Field Multiuser MIMO Communications.
IEEE Trans. Wirel. Commun., 2022

Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink.
IEEE Trans. Veh. Technol., 2022

Spiking Sparse Recovery With Non-Convex Penalties.
IEEE Trans. Signal Process., 2022

Deep Unfolding With Normalizing Flow Priors for Inverse Problems.
IEEE Trans. Signal Process., 2022

Community Inference From Partially Observed Graph Signals: Algorithms and Analysis.
IEEE Trans. Signal Process., 2022

Learned Factor Graphs for Inference From Stationary Time Sequences.
IEEE Trans. Signal Process., 2022

Deep Task-Based Analog-to-Digital Conversion.
IEEE Trans. Signal Process., 2022

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
IEEE Trans. Signal Process., 2022

Graph Signal Restoration Using Nested Deep Algorithm Unrolling.
IEEE Trans. Signal Process., 2022

FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals.
IEEE Trans. Signal Process., 2022

Extended Successive Convex Approximation for Phase Retrieval With Dictionary Learning.
IEEE Trans. Signal Process., 2022

Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming.
IEEE Trans. Signal Process., 2022

Graph Signal Compression by Joint Quantization and Sampling.
IEEE Trans. Signal Process., 2022

Bayesian Estimation of Graph Signals.
IEEE Trans. Signal Process., 2022

Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19.
IEEE Trans. Medical Imaging, 2022

Multimodal Unrolled Robust PCA for Background Foreground Separation.
IEEE Trans. Image Process., 2022

MIMO Networks With One-Bit ADCs: Receiver Design and Communication Strategies.
IEEE Trans. Commun., 2022

Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining.
IEEE Trans. Commun., 2022

Nonlinear Waveform Inversion for Quantitative Ultrasound.
IEEE Trans. Computational Imaging, 2022

Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results.
IEEE Signal Process. Mag., 2022

Federated Learning: A signal processing perspective.
IEEE Signal Process. Mag., 2022

Editorial: Intelligent Signal Analysis for Contagious Virus Diseases.
IEEE J. Sel. Top. Signal Process., 2022

Guest Editorial Special Issue on Integrated Sensing and Communication - Part II.
IEEE J. Sel. Areas Commun., 2022

Guest Editorial Special Issue on Integrated Sensing and Communication - Part I.
IEEE J. Sel. Areas Commun., 2022

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond.
IEEE J. Sel. Areas Commun., 2022

Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming.
IEEE J. Sel. Areas Commun., 2022

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding.
IEEE J. Sel. Areas Commun., 2022

Deep Unfolding for Non-Negative Matrix Factorization with Application to Mutational Signature Analysis.
J. Comput. Biol., 2022

STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization.
IEEE Internet Things J., 2022

Towards a performance bound on MIMO DFRC systems.
CoRR, 2022

Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning.
CoRR, 2022

Compressed IF-TEM: Time Encoding Analog-To-Digital Compression.
CoRR, 2022

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM.
CoRR, 2022

Learning Filter-Based Compressed Blind-Deconvolution.
CoRR, 2022

Physics Embedded Machine Learning for Electromagnetic Data Imaging.
CoRR, 2022

Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces.
CoRR, 2022

Sparsity Based Non-Contact Vital Signs Monitoring of Multiple People Via FMCW Radar.
CoRR, 2022

Ultrasound Signal Processing: From Models to Deep Learning.
CoRR, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges.
IEEE Commun. Mag., 2022

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization.
IEEE Access, 2022

Image Restoration by Deep Projected GSURE.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

A Sequence-Based Compressed Sensing Receiver for Impulsive Frequency Shift Keying.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Uniqueness and Robustness of Tem-Based FRI Sampling.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Optimizing Federated Averaging over Fading Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Neural Greedy Pursuit for Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Minimum Variance Unbiased Estimators.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

SemiFL: Semi-Federated Learning Empowered by Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface.
Proceedings of the IEEE International Conference on Communications, 2022

Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs.
Proceedings of the IEEE International Conference on Acoustics, 2022

Image Denoising with Deep Unfolding And Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2022

Optimization Guarantees for ISTA and ADMM Based Unfolded Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

RTSNet: Deep Learning Aided Kalman Smoothing.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the Acquisition of Stationary Signals Using Uniform ADCS.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learning to Sample for Sparse Signals.
Proceedings of the IEEE International Conference on Acoustics, 2022

Transmit Beamforming with Fixed Covariance for Integrated MIMO Radar and Multiuser Communications.
Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound.
Proceedings of the IEEE International Conference on Acoustics, 2022

Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing.
Proceedings of the IEEE International Conference on Acoustics, 2022

Residual Recovery Algorithm for Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2022

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Unsupervised Learned Kalman Filtering.
Proceedings of the 30th European Signal Processing Conference, 2022

Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding.
Proceedings of the 30th European Signal Processing Conference, 2022

BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications.
IEEE Wirel. Commun., 2021

DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection.
IEEE Trans. Wirel. Commun., 2021

Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype.
IEEE Trans. Veh. Technol., 2021

Massive MIMO as an Extreme Learning Machine.
IEEE Trans. Veh. Technol., 2021

BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization.
IEEE Trans. Signal Process., 2021

UVeQFed: Universal Vector Quantization for Federated Learning.
IEEE Trans. Signal Process., 2021

Over-the-Air Federated Learning From Heterogeneous Data.
IEEE Trans. Signal Process., 2021

Deep Networks for Direction-of-Arrival Estimation in Low SNR.
IEEE Trans. Signal Process., 2021

Task-Based Analog-to-Digital Converters.
IEEE Trans. Signal Process., 2021

Unitary Approximate Message Passing for Sparse Bayesian Learning.
IEEE Trans. Signal Process., 2021

Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses.
IEEE Trans. Signal Process., 2021

Phase Transitions in Frequency Agile Radar Using Compressed Sensing.
IEEE Trans. Signal Process., 2021

LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers.
IEEE Trans. Signal Process., 2021

Structured LISTA for Multidimensional Harmonic Retrieval.
IEEE Trans. Signal Process., 2021

Serial Quantization for Sparse Time Sequences.
IEEE Trans. Signal Process., 2021

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.
IEEE Trans. Signal Process., 2021

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction".
IEEE Trans. Medical Imaging, 2021

Super-Resolution Ultrasound Localization Microscopy Through Deep Learning.
IEEE Trans. Medical Imaging, 2021

Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs.
IEEE Trans. Commun., 2021

Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization.
IEEE Trans. Computational Imaging, 2021

Ensemble Wrapper Subsampling for Deep Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., 2021

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing.
IEEE Signal Process. Mag., 2021

FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation.
IEEE J. Sel. Top. Signal Process., 2021

Sub-Nyquist spectrum sensing and learning challenge.
Frontiers Comput. Sci., 2021

Deep Task-Based Quantization.
Entropy, 2021

Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover.
CoRR, 2021

Time-Based Quantization for FRI and Bandlimited signals.
CoRR, 2021

Deep Unrolled Recovery in Sparse Biological Imaging.
CoRR, 2021

Deep Learning for Ultrasound Beamforming.
CoRR, 2021

Deep Algorithm Unrolling for Biomedical Imaging.
CoRR, 2021

STAR-RIS Enabled Heterogeneous Networks: Ubiquitous NOMA Communication and Pervasive Federated Learning.
CoRR, 2021

Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Image.
CoRR, 2021

A Coding Theory Perspective on MultiplexedMolecular Profiling of Biological Tissues.
CoRR, 2021

Model-Based Machine Learning for Communications.
CoRR, 2021

Fedrec: Federated Learning of Universal Receivers Over Fading Channels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Soft-Sign Stochastic Gradient Descent Algorithm for Wireless Federated Learning.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Learned Super Resolution Ultrasound for Improved Breast Lesion Characterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Model-Inspired Deep Detection with Low-Resolution Receivers.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Extended Cantor Arrays with Hole-Free Fourth-Order Difference Co-Arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Sparse Recovery Of Imaging Transcriptomics Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Efficient Binary Cnn For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Wasserstein Minimax Framework for Mixed Linear Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Super-Resolved Imaging of Early-Stage Dynamics in the Immune Response.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Joint Resource Management and Model Compression for Wireless Federated Learning.
Proceedings of the ICC 2021, 2021

Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2021


Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unrolling of Deep Graph Total Variation for Image Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Collaborative Inference via Ensembles on the Edge.
Proceedings of the IEEE International Conference on Acoustics, 2021

Kalmannet: Data-Driven Kalman Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2021

REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Sub-NYQUIST Multichannel Blind Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bit Constrained Communication Receivers In Joint Radar Communications Systems.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Parallel Algorithm for Phase Retrieval with Dictionary Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Signal Compression via Task-Based Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests.
Proceedings of the IEEE International Conference on Acoustics, 2021

Time-Varying Graph Signal Inpainting Via Unrolling Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Signal Denoising Via Unrolling Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enabling Ubiquitous Non-Orthogonal Multiple Access and Pervasive Federated Learning via STAR-RIS.
Proceedings of the IEEE Global Communications Conference, 2021

Task-Based Analog-to-Digital Converters for Bandlimited Systems.
Proceedings of the 29th European Signal Processing Conference, 2021

Reconstruction of FRI Signals using Autoencoders with Fixed Decoders.
Proceedings of the 29th European Signal Processing Conference, 2021

Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Transmit Precoding for Dual-Function Radar-Communication Systems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection.
IEEE Trans. Wirel. Commun., 2020

A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint.
IEEE Trans. Signal Process., 2020

Generalized Sampling on Graphs With Subspace and Smoothness Priors.
IEEE Trans. Signal Process., 2020

Identifiability Conditions for Compressive Multichannel Blind Deconvolution.
IEEE Trans. Signal Process., 2020

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar.
IEEE Trans. Signal Process., 2020

Multi-Carrier Agile Phased Array Radar.
IEEE Trans. Signal Process., 2020

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation.
IEEE Trans. Signal Process., 2020

Sparse Array Design via Fractal Geometries.
IEEE Trans. Signal Process., 2020

Functional Nonlinear Sparse Models.
IEEE Trans. Signal Process., 2020

Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction.
IEEE Trans. Medical Imaging, 2020

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound.
IEEE Trans. Medical Imaging, 2020

Adaptive Ultrasound Beamforming Using Deep Learning.
IEEE Trans. Medical Imaging, 2020

Convolutional Phase Retrieval via Gradient Descent.
IEEE Trans. Inf. Theory, 2020

Blind Phaseless Short-Time Fourier Transform Recovery.
IEEE Trans. Inf. Theory, 2020

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise.
IEEE Trans. Commun., 2020

Enhanced Channel Estimation in Massive MIMO via Coordinated Pilot Design.
IEEE Trans. Commun., 2020

Pilot Sequence Design for Mitigating Pilot Contamination With Reduced RF Chains.
IEEE Trans. Commun., 2020

Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling.
IEEE Trans. Computational Imaging, 2020

A Cognitive Sub-Nyquist MIMO Radar Prototype.
IEEE Trans. Aerosp. Electron. Syst., 2020

High Resolution FDMA MIMO Radar.
IEEE Trans. Aerosp. Electron. Syst., 2020

Sampling Signals on Graphs: From Theory to Applications.
IEEE Signal Process. Mag., 2020

Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies.
IEEE Signal Process. Mag., 2020

RF Chain Reduction for MIMO Systems: A Hardware Prototype.
IEEE Syst. J., 2020

Deep Learning in Ultrasound Imaging.
Proc. IEEE, 2020

The Global Optimization Geometry of Shallow Linear Neural Networks.
J. Math. Imaging Vis., 2020

Bayesian Federated Learning over Wireless Networks.
CoRR, 2020

Statistical model-based evaluation of neural networks.
CoRR, 2020

COVID-19 Classification of X-ray Images Using Deep Neural Networks.
CoRR, 2020

eSampling: Energy Harvesting ADCs.
CoRR, 2020

Inference from Stationary Time Sequences via Learned Factor Graphs.
CoRR, 2020

RaSSteR: Random Sparse Step-Frequency Radar.
CoRR, 2020

Sampling on Graphs: From Theory to Applications.
CoRR, 2020

Task-based quantization with application to MIMO receivers.
Commun. Inf. Syst., 2020

Data-driven symbol detection via model-based machine learning.
Commun. Inf. Syst., 2020

Sample Efficient Toeplitz Covariance Estimation.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

A Coding Theory Perspective on Multiplexed Molecular Profiling of Biological Tissues.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020

The Communication-Aware Clustered Federated Learning Problem.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Data-Driven Factor Graphs for Deep Symbol Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2020

On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Automotive Dual-Function Radar Communications Systems: An Overview.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Complex Trainable Ista for Linear and Nonlinear Inverse Problems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Soft Interference Cancellation for MIMO Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Federated Learning with Quantization Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sparse Convolutional Beamforming for Wireless Ultrasound.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Theoretical Analysis of Multi-Carrier Agile Phased Array Radar.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Generalized Graph Spectral Sampling with Stochastic Priors.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Quantization for Sparse Time Sequences.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

COTAF: Convergent Over-the-Air Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020

An ADMM-Net for Data Recovery in Wireless Sensor Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation.
Proceedings of the 28th European Signal Processing Conference, 2020

Energy Harvesting via Analog-to-Digital Conversion.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Robust Simultaneous Wireless Information and Power Transfer in Beamspace Massive MIMO.
IEEE Trans. Wirel. Commun., 2019

Hardware-Limited Task-Based Quantization.
IEEE Trans. Signal Process., 2019

Asymptotic Task-Based Quantization With Application to Massive MIMO.
IEEE Trans. Signal Process., 2019

Frequency-Resolved Optical Gating Recovery via Smoothing Gradient.
IEEE Trans. Signal Process., 2019

Optimal Number of Measurements in a Linear System With Quadratically Decreasing SNR.
IEEE Trans. Signal Process., 2019

Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization.
IEEE Trans. Signal Process., 2019

A Family of Hybrid Analog-Digital Beamforming Methods for Massive MIMO Systems.
IEEE Trans. Signal Process., 2019

Sampling and Super Resolution of Sparse Signals Beyond the Fourier Domain.
IEEE Trans. Signal Process., 2019

On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization.
IEEE Trans. Inf. Theory, 2019

The Distortion-Rate Function of Sampled Wiener Processes.
IEEE Trans. Inf. Theory, 2019

Dictionary Learning for Adaptive GPR Landmine Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems.
IEEE Trans. Commun., 2019

Dynamic Metasurface Antennas for Uplink Massive MIMO Systems.
IEEE Trans. Commun., 2019

Radar and Communication Coexistence: An Overview: A Review of Recent Methods.
IEEE Signal Process. Mag., 2019

An Industry and Government Perspective on Challenges and Open Problems in Signal Processing [SP Forum].
IEEE Signal Process. Mag., 2019

TenDSuR: Tensor-Based 4D Sub-Nyquist Radar.
IEEE Signal Process. Lett., 2019

SPARCOM: Sparsity Based Super-resolution Correlation Microscopy.
SIAM J. Imaging Sci., 2019

Phase Retrieval of Low-Rank Matrices by Anchored Regression.
CoRR, 2019

Joint Radar-Communications Strategies for Autonomous Vehicles.
CoRR, 2019

Coordinated Nonorthogonal Pilot Design for Massive MIMO.
CoRR, 2019

Radar and Communication Co-existence: an Overview.
CoRR, 2019

An Algorithm Unrolling Approach to Deep Blind Image Deblurring.
CoRR, 2019

HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting.
CoRR, 2019

Fast Deep Learning for Automatic Modulation Classification.
CoRR, 2019

Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

A Dual-Function Radar Communication System Using Index Modulation.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Joint Sampling and Recovery of Correlated Sources.
Proceedings of the IEEE International Symposium on Information Theory, 2019

On the Capacity of Sampled Interference-Limited Communications Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components.
Proceedings of the IEEE International Symposium on Information Theory, 2019

On Multiterminal Communication over MIMO Channels with One-bit ADCs at the Receivers.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Tradeoff Between Delay and High SNR Capacity in Quantized MIMO Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Beam Alignment and Tracking for Autonomous Vehicular Communication using IEEE 802.11ad-based Radar.
Proceedings of the IEEE INFOCOM 2019, 2019

Community Inference from Graph Signals with Hidden Nodes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2019

Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Learning for Super-resolution Vascular Ultrasound Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Quantization for MIMO Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Task-Based Quantization for Massive MIMO Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamic Metasurfaces for Massive MIMO Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Coordinated Pilot Design for Massive MIMO.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Learning for Fast Adaptive Beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2019

An Algorithm Unrolling Approach to Deep Image Deblurring.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Signal Recovery with One-bit Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Convolutional Robust PCA with Application to Ultrasound Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Fractal Array Design with Increased Degrees of Freedom.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Recovery over Nonlinear Dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2019

Parallel Coordinate Descent Algorithms for Sparse Phase Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Neural Network Symbol Detection for Millimeter Wave Communications.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Modeling and Recovery of Graph Signals and Difference-Based Signals.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Geolocation with Graph-Based Model Fitting.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Serial Quantization for Representing Sparse Signals.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Measurement Matrix Design for Phase Retrieval Based on Mutual Information.
IEEE Trans. Signal Process., 2018

On Fienup Methods for Sparse Phase Retrieval.
IEEE Trans. Signal Process., 2018

Analysis of Frequency Agile Radar via Compressed Sensing.
IEEE Trans. Signal Process., 2018

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems.
IEEE Trans. Signal Process., 2018

SUMMeR: Sub-Nyquist MIMO Radar.
IEEE Trans. Signal Process., 2018

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow.
IEEE Trans. Inf. Theory, 2018

The Distortion Rate Function of Cyclostationary Gaussian Processes.
IEEE Trans. Inf. Theory, 2018

Fundamental Distortion Limits of Analog-to-Digital Compression.
IEEE Trans. Inf. Theory, 2018

Non-Convex Phase Retrieval From STFT Measurements.
IEEE Trans. Inf. Theory, 2018

Spectrum Sharing Radar: Coexistence via Xampling.
IEEE Trans. Aerosp. Electron. Syst., 2018

Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits.
IEEE Signal Process. Mag., 2018

Analog-to-Digital Cognitive Radio: Sampling, Detection, and Hardware.
IEEE Signal Process. Mag., 2018

Sub-Nyquist Radar Systems: Temporal, Spectral, and Spatial Compression.
IEEE Signal Process. Mag., 2018

Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis.
IEEE J. Sel. Top. Signal Process., 2018

Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing.
IEEE J. Sel. Top. Signal Process., 2018

Dictionary Learning for Adaptive GPR Target Classification.
CoRR, 2018

iMAP Beamforming for High Quality High Frame Rate Imaging.
CoRR, 2018

A Unified View of Diffusion Maps and Signal Processing on Graphs.
CoRR, 2018

Sparse Convolutional Beamforming for Ultrasound Imaging.
CoRR, 2018

Sub-Nyquist Radar: Principles and Prototypes.
CoRR, 2018

Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO with One-Bit ADCs.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

The Enhanced Kramers Kronig Receiver.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On MIMO Channel Capacity with Output Quantization Constraints.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Average Case Analysis of Compressive Multichannel Frequency Estimation Using Atomic Norm Minimization.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Total Variation Iterative Linear Expansion of Thresholds with Applications in CT.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Nystrom Extension for Signals Defined on a Graph.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Learned Inexact Project Gradient Descent Algorithm.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Optimized Sparse Array Design Based on the Sum Coarray.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Sampling with and Without Input Priors.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Strong Duality of Sparse Functional Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Recovering Signals from their FROG Trace.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Blind Detection for Ambient Backscatter Communication System with Multiple-Antenna tags.
Proceedings of the IEEE Global Communications Conference, 2018

Implications and methods for co-existing automotive radar and communication systems.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Low-Rank Phase Retrieval.
IEEE Trans. Signal Process., 2017

CaSCADE: Compressed Carrier and DOA Estimation.
IEEE Trans. Signal Process., 2017

On the 2D Phase Retrieval Problem.
IEEE Trans. Signal Process., 2017

Sub-Nyquist Cyclostationary Detection for Cognitive Radio.
IEEE Trans. Signal Process., 2017

The SPURS Algorithm for Resampling an Irregularly Sampled Signal onto a Cartesian Grid.
IEEE Trans. Medical Imaging, 2017

Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection.
IEEE Trans. Medical Imaging, 2017

On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling.
IEEE Trans. Inf. Theory, 2017

Sub-Nyquist SAR via Fourier Domain Range-Doppler Processing.
IEEE Trans. Geosci. Remote. Sens., 2017

Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum].
IEEE Signal Process. Mag., 2017

On the Uniqueness of FROG Methods.
IEEE Signal Process. Lett., 2017

A Mixer Front End for a Four-Channel Modulated Wideband Converter With 62-dB Blocker Rejection.
IEEE J. Solid State Circuits, 2017

Hybrid Analog-Digital Beamforming for Massive MIMO Systems.
CoRR, 2017

Sparse Doppler Sensing.
CoRR, 2017

Sparsity-Based Super Resolution for SEM Images.
CoRR, 2017

RAPToR: A Resampling Algorithm for Pseudo-Polar based Tomographic Reconstruction.
CoRR, 2017

A General Framework for Low-Resolution Receivers for MIMO Channels.
CoRR, 2017

On Fienup Methods for Regularized Phase Retrieval.
CoRR, 2017

Sub-Nyquist Channel Estimation over IEEE 802.11ad Link.
CoRR, 2017

Sensor Calibration for Off-the-Grid Spectral Estimation.
CoRR, 2017

On Signal Reconstruction from FROG Measurements.
CoRR, 2017

Fourier Phase Retrieval: Uniqueness and Algorithms.
CoRR, 2017

Spectrum Sharing Solution for Automotive Radar.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Pilot contamination mitigation with reduced RF chains.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Convolutional Phase Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A general framework for MIMO receivers with low-resolution quantization.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Using mutual information for designing the measurement matrix in phase retrieval problems.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Fundamental estimation limits in autoregressive processes with compressive measurements.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Compressed sensing under optimal quantization.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Pseudo-polar reconstruction for tomography.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Sparse emission pattern in spectral blood Doppler.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Online dictionary learning aided target recognition in cognitive GPR.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sparsity based super-resolution optical imaging using correlation information.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Rate-distortion trade-offs in acquisition of signal parameters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Estimation in autoregressive processes with partial observations.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Performance of time delay estimation in a cognitive radar.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Xampling-enabled coexistence in spectrally crowded environments.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Compressed cyclostationary detection for Cognitive Radio.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sub-Nyquist pulse Doppler MIMO radar.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Phase retrieval from STFT measurements via non-convex optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Optimal number of measurements for compressed sensing with quadratically decreasing SNR.
Proceedings of the 25th European Signal Processing Conference, 2017

PEAR: PEriodic and ApeRiodic signal separation for fast FMRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
DOLPHIn - Dictionary Learning for Phase Retrieval.
IEEE Trans. Signal Process., 2016

Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms.
IEEE Trans. Signal Process., 2016

Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources.
IEEE Trans. Inf. Theory, 2016

On the Minimax Risk of Dictionary Learning.
IEEE Trans. Inf. Theory, 2016

Recent Advances in Phase Retrieval [Lecture Notes].
IEEE Signal Process. Mag., 2016

STFT Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms.
IEEE J. Sel. Top. Signal Process., 2016

Subspace Learning with Partial Information.
J. Mach. Learn. Res., 2016

Cognitive Sub-Nyquist Hardware Prototype of a Collocated MIMO Radar.
CoRR, 2016

WINDOW: Wideband Demodulator for Optical Waveforms.
CoRR, 2016

FoCUS: Fourier-based Coded Ultrasound.
CoRR, 2016

Sampling stationary signals subject to bitrate constraints.
CoRR, 2016

Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery.
CoRR, 2016

Tolerant Compressed Sensing With Partially Coherent Sensing Matrices.
CoRR, 2016

Non-Convex Phase Retrieval from STFT Measurements.
CoRR, 2016

Guiding Principles for a Pediatric Neurology ICU (neuroPICU) Bedside Multimodal Monitor.
Appl. Clin. Inform., 2016

Low rank matrix recovery from column-wise phaseless measurements.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Information rates of sampled Wiener processes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Dictionary learning from phaseless measurements.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Reference-based compressed sensing: A sample complexity approach.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Coded excitation ultrasound: Efficient implementation via frequency domain processing.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Detection with phaseless measurements.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Phaseless super-resolution using masks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

On convexity and identifiability in 1-D Fourier phase retrieval.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Carrier frequency and bandwidth estimation of cyclostationary multiband signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A swiss army knife for finite rate of innovation sampling theory.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization.
Proceedings of the 24th European Signal Processing Conference, 2016

Low rank magnetic resonance fingerprinting.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Power-Efficient Cameras Using Natural Image Statistics.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

System identification from partial samples: Non-asymptotic analysis.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Subspace Recovery From Structured Union of Subspaces.
IEEE Trans. Inf. Theory, 2015

Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices.
IEEE Trans. Inf. Theory, 2015

Backing Off From Infinity: Performance Bounds via Concentration of Spectral Measure for Random MIMO Channels.
IEEE Trans. Inf. Theory, 2015

Undersampled Phase Retrieval With Outliers.
IEEE Trans. Computational Imaging, 2015

Phase Retrieval with Application to Optical Imaging: A contemporary overview.
IEEE Signal Process. Mag., 2015

The Viterbi Algorithm for Subset Selection.
IEEE Signal Process. Lett., 2015

Non-Coherent Direction of Arrival Estimation from Magnitude-Only Measurements.
IEEE Signal Process. Lett., 2015

Sparse Phase Retrieval from Short-Time Fourier Measurements.
IEEE Signal Process. Lett., 2015

Clutter Removal in Sub-Nyquist Radar.
IEEE Signal Process. Lett., 2015

Recovery of Sparse Positive Signals on the Sphere from Low Resolution Measurements.
IEEE Signal Process. Lett., 2015

Phase Retrieval via Matrix Completion.
SIAM Rev., 2015

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference.
CoRR, 2015

Phase Retrieval: An Overview of Recent Developments.
CoRR, 2015

Sub-Nyquist Sampling and Fourier Domain Beamforming in Volumetric Ultrasound Imaging.
CoRR, 2015

A Least Squares Approach for Stable Phase Retrieval from Short-Time Fourier Transform Magnitude.
CoRR, 2015

Joint spectrum sensing and direction of arrival recovery from sub-Nyquist samples.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

Distributed cooperative spectrum sensing from sub-Nyquist samples for Cognitive Radios.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

Sub-Nyquist sampling achieves optimal rate-distortion.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Phase retrieval with masks using convex optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Centralized cooperative spectrum sensing from sub-Nyquist samples for Cognitive Radios.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Mixer-based subarray beamforming for sub-Nyquist sampling ultrasound architectures.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Recovering signals from the Short-Time Fourier Transform magnitude.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Modified distributed iterative hard thresholding.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Universal lower bounds on sampling rates for covariance estimation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Exploiting FRI signal structure for sub-Nyquist sampling and processing in medical ultrasound.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Super-resolution in Phase Space.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Uniform Linear Array Based Spectrum Sensing from Sub-Nyquist Samples.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Sampling FRI signals with the SOS kernel: Bounds and optimal kernel.
Proceedings of the 23rd European Signal Processing Conference, 2015

Fast reference based MRI.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Optimal trade-off between sampling rate and quantization precision in A/D conversion.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint.
IEEE Trans. Signal Process., 2014

Smoothing and Decomposition for Analysis Sparse Recovery.
IEEE Trans. Signal Process., 2014

GESPAR: Efficient Phase Retrieval of Sparse Signals.
IEEE Trans. Signal Process., 2014

Spatial Compressive Sensing for MIMO Radar.
IEEE Trans. Signal Process., 2014

Distributed Compressed Sensing for Static and Time-Varying Networks.
IEEE Trans. Signal Process., 2014

Compressive Shift Retrieval.
IEEE Trans. Signal Process., 2014

Sub-Nyquist Sampling for Power Spectrum Sensing in Cognitive Radios: A Unified Approach.
IEEE Trans. Signal Process., 2014

Sub-Nyquist Radar via Doppler Focusing.
IEEE Trans. Signal Process., 2014

Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach.
IEEE Trans. Inf. Theory, 2014

Channel Capacity Under Sub-Nyquist Nonuniform Sampling.
IEEE Trans. Inf. Theory, 2014

Sub-Nyquist radar prototype: Hardware and algorithm.
IEEE Trans. Aerosp. Electron. Syst., 2014

The application of Compressed Sensing for Longitudinal MRI.
CoRR, 2014

Phase Retrieval with Application to Optical Imaging.
CoRR, 2014

The Sample Complexity of Subspace Learning with Partial Information.
CoRR, 2014

Low-rate identification of memory polynomials.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Continuous sparse recovery for direction of arrival estimation with co-prime arrays.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Phase retrieval of sparse signals using optimization transfer and ADMM.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sub-Nyquist sampling of OFDM signals for cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2014

On conditions for uniqueness in sparse phase retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2014

Channel estimation in UWB channels using compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

An algorithm for exact super-resolution and phase retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed 3D ultrasound imaging with 2D arrays.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hardware calibration of the modulated wideband converter.
Proceedings of the IEEE Global Communications Conference, 2014

Cyclic spectrum reconstruction from sub-Nyquist samples.
Proceedings of the IEEE Global Communications Conference, 2014

Distributed approximate message passing for sparse signal recovery.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Identification of power line outages.
Proceedings of the 22nd European Signal Processing Conference, 2014

Performance limits of dictionary learning for sparse coding.
Proceedings of the 22nd European Signal Processing Conference, 2014

Covalsa: Covariance estimation from compressive measurements using alternating minimization.
Proceedings of the 22nd European Signal Processing Conference, 2014

Cramér-Rao Bound for finite streams of pulses.
Proceedings of the 22nd European Signal Processing Conference, 2014

Exploiting similarity in adjacent slices for compressed sensing MRI.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Gaussian distortion-rate function under sub-nyquist nonuniform sampling.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Robust Downlink Beamforming With Partial Channel State Information for Conventional and Cognitive Radio Networks.
IEEE Trans. Signal Process., 2013

Compressive Link Acquisition in Multiuser Communications.
IEEE Trans. Signal Process., 2013

PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations.
IEEE Trans. Signal Process., 2013

Reduced-Dimension Multiuser Detection.
IEEE Trans. Inf. Theory, 2013

Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels.
IEEE Trans. Inf. Theory, 2013

Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms.
SIAM J. Optim., 2013

Subspace Detection from Structured Union of Subspaces via Linear Sampling
CoRR, 2013

Recovery of Sparse Matrices via Matrix Sketching.
CoRR, 2013

Multi-Branch Matching Pursuit with applications to MIMO radar.
CoRR, 2013

Fourier Domain Beamforming: The Path to Compressed Ultrasound Imaging.
CoRR, 2013

Backing off from Infinity: Tight Performance Bounds for Large Random Vector Channels.
CoRR, 2013

Real-time change detection of steady-state evoked potentials.
Biol. Cybern., 2013

Cyclic spectrum reconstruction and cyclostationary detection from sub-Nyquist samples.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Minimax universal sampling for compound multiband channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Maximum likelihood estimation under partial sparsity constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Conditions for target recovery in spatial compressive sensing for MIMO radar.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed sparse signal recovery for sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Fourier domain beamforming for medical ultrasound.
Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse signal recovery from nonlinear measurements.
Proceedings of the IEEE International Conference on Acoustics, 2013

A Doppler focusing approach for sub-Nyquist radar.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed compressed sensing in dynamic networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Sub-Nyquist medical ultrasound imaging: En route to cloud processing.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Sub-Nyquist power spectrum reconstruction and support detection for cognitive radios.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Nonlinear compressed sensing with application to phase retrieval.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Sparsity based super-resolution in optical measurements.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Cyclostationary detection from sub-Nyquist samples for Cognitive Radios: Model reconciliation.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distortion rate function of sub-Nyquist sampled Gaussian sources corrupted by noise.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Dictionary Optimization for Block-Sparse Representations.
IEEE Trans. Signal Process., 2012

Compressed Beamforming in Ultrasound Imaging.
IEEE Trans. Signal Process., 2012

Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery.
IEEE Trans. Signal Process., 2012

Partially Linear Estimation With Application to Sparse Signal Recovery From Measurement Pairs.
IEEE Trans. Signal Process., 2012

Xampling at the Rate of Innovation.
IEEE Trans. Signal Process., 2012

Sub-Nyquist Sampling of Short Pulses.
IEEE Trans. Signal Process., 2012

Rank Awareness in Joint Sparse Recovery.
IEEE Trans. Inf. Theory, 2012

Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals.
IEEE Trans. Inf. Theory, 2012

GPS signal acquisition via compressive multichannel sampling.
Phys. Commun., 2012

Phase Retrieval: Stability and Recovery Guarantees
CoRR, 2012

A Sub-Nyquist Radar Prototype: Hardware and Algorithms
CoRR, 2012

PETRELS: Parallel Estimation and Tracking of Subspace by Recursive Least Squares from Partial Observations
CoRR, 2012

Designing and using prior data in Ankylography: Recovering a 3D object from a single diffraction intensity pattern
CoRR, 2012

Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training
CoRR, 2012

Compressed Beamforming in Ultrasound Imaging
CoRR, 2012

Channel capacity under general nonuniform sampling.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Compressed beamforming applied to B-mode ultrasound imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Compressed beamforming with applications to ultrasound imaging.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Analog compressed sensing for RF propagation channel sounding.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Semi-supervised multi-domain regression with distinct training sets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimization-based recovery from rate of innovation samples.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimal sampling structure for asynchronous multi-access channels.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

PETRELS: Subspace estimation and tracking from partial observations.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Towards an integrated circuit design of a compressed sampling wireless receiver.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Spatial compressive sensing in MIMO radar with random arrays.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Compressive sensing with unknown parameters.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Sampling at the rate of innovation: theory and applications.
Proceedings of the Compressed Sensing, 2012

Xampling: compressed sensing of analog signals.
Proceedings of the Compressed Sensing, 2012

Introduction to compressed sensing.
Proceedings of the Compressed Sensing, 2012

2011
Sensing Matrix Optimization for Block-Sparse Decoding.
IEEE Trans. Signal Process., 2011

Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging.
IEEE Trans. Signal Process., 2011

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework.
IEEE Trans. Signal Process., 2011

Xampling: Signal Acquisition and Processing in Union of Subspaces.
IEEE Trans. Signal Process., 2011

U-Invariant Sampling: Extrapolation and Causal Interpolation From Generalized Samples.
IEEE Trans. Signal Process., 2011

Hidden Relationships: Bayesian Estimation With Partial Knowledge.
IEEE Trans. Signal Process., 2011

Multichannel Sampling of Pulse Streams at the Rate of Innovation.
IEEE Trans. Signal Process., 2011

Structured Compressed Sensing: From Theory to Applications.
IEEE Trans. Signal Process., 2011

Identification of Parametric Underspread Linear Systems and Super-Resolution Radar.
IEEE Trans. Signal Process., 2011

Unbiased Estimation of a Sparse Vector in White Gaussian Noise.
IEEE Trans. Inf. Theory, 2011

Blind Compressed Sensing.
IEEE Trans. Inf. Theory, 2011

Sub-Nyquist Sampling.
IEEE Signal Process. Mag., 2011

Wideband Spectrum Sensing at Sub-Nyquist Rates [Applications Corner].
IEEE Signal Process. Mag., 2011

Noise Folding in Compressed Sensing.
IEEE Signal Process. Lett., 2011

Acceleration of randomized Kaczmarz method via the Johnson-Lindenstrauss Lemma.
Numer. Algorithms, 2011

Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques From Noisy Measurements.
IEEE J. Sel. Top. Signal Process., 2011

Xampling: Analog to digital at sub-Nyquist rates.
IET Circuits Devices Syst., 2011

Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051).
Dagstuhl Reports, 2011

Reduced-dimension multiuser detection: detectors and performance guarantees
CoRR, 2011

Sub-Nyquist Sampling: Bridging Theory and Practice
CoRR, 2011

Xampling in Ultrasound Imaging
CoRR, 2011

Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing
CoRR, 2011

Partially Linear Bayesian Estimation with Application to Sparse Approximations
CoRR, 2011

Unicity conditions for low-rank matrix recovery
CoRR, 2011

Xampling: Compressed Sensing of Analog Signals
CoRR, 2011

Blind Compressed Sensing Over a Structured Union of Subspaces
CoRR, 2011

Fluxomers: a new approach for <sup>13</sup>C metabolic flux analysis.
BMC Syst. Biol., 2011

Approaching the capacity of sampled analog channels.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Generic sensing hardware and real-time reconstruction for structured analog signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Live demonstration: MWC for real-time application.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Signal recovery in shift-invariant spaces from partial frequency data.
Proceedings of the IEEE International Conference on Acoustics, 2011

Causal signal recovery from U-invariant samples.
Proceedings of the IEEE International Conference on Acoustics, 2011

Denoising of image patches via sparse representations with learned statistical dependencies.
Proceedings of the IEEE International Conference on Acoustics, 2011

Shannon meets Nyquist: Capacity limits of sampled analog channels.
Proceedings of the IEEE International Conference on Acoustics, 2011

On the identification of parametric underspread linear systems.
Proceedings of the IEEE International Conference on Acoustics, 2011

Cyclostationary feature detection from sub-Nyquist samples.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Shannon meets Nyquist: The interplay between capacity and sampling.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Global methods for compressive sensing in MIMO radar with distributed sensors.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Covariance estimation in decomposable Gaussian graphical models.
IEEE Trans. Signal Process., 2010

Noninvertible gabor transforms.
IEEE Trans. Signal Process., 2010

Time-delay estimation from low-rate samples: a union of subspaces approach.
IEEE Trans. Signal Process., 2010

Recovering signals from lowpass data.
IEEE Trans. Signal Process., 2010

Block-sparse signals: uncertainty relations and efficient recovery.
IEEE Trans. Signal Process., 2010

Shrinkage algorithms for MMSE covariance estimation.
IEEE Trans. Signal Process., 2010

Coherence-based performance guarantees for estimating a sparse vector under random noise.
IEEE Trans. Signal Process., 2010

The Cramér-Rao bound for estimating a sparse parameter vector.
IEEE Trans. Signal Process., 2010

Average case analysis of multichannel sparse recovery using convex relaxation.
IEEE Trans. Inf. Theory, 2010

Nonlinear and Nonideal Sampling Revisited.
IEEE Signal Process. Lett., 2010

Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares.
SIAM J. Matrix Anal. Appl., 2010

From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals.
IEEE J. Sel. Top. Signal Process., 2010

Introduction to the Issue on Compressive Sensing.
IEEE J. Sel. Top. Signal Process., 2010

Sub-Nyquist Sampling of Short Pulses: Part I
CoRR, 2010

A Lower Bound on the Estimator Variance for the Sparse Linear Model
CoRR, 2010

Wideband Spectrum Sensing at Sub-Nyquist Rates
CoRR, 2010

Identification of Underspread Linear Systems with Application to Super-Resolution Radar
CoRR, 2010

Compressed Sensing with Coherent and Redundant Dictionaries
CoRR, 2010

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
CoRR, 2010

Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging
CoRR, 2010

Sub-Nyquist processing with the modulated wideband converter.
Proceedings of the IEEE International Conference on Acoustics, 2010

A minimax approach to Bayesian estimation with partial knowledge of the observation model.
Proceedings of the IEEE International Conference on Acoustics, 2010

On unbiased estimation of sparse vectors corrupted by Gaussian noise.
Proceedings of the IEEE International Conference on Acoustics, 2010

Time delay estimation: Compressed sensing over an infinite union of subspaces.
Proceedings of the IEEE International Conference on Acoustics, 2010

Modulated wideband converter with non-ideal lowpass filters.
Proceedings of the IEEE International Conference on Acoustics, 2010

Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise.
Proceedings of the IEEE International Conference on Acoustics, 2010

Blind Compressed Sensing: Theory.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Robust Downlink Beamforming for Cognitive Radio Networks.
Proceedings of the Global Communications Conference, 2010

Xampling: Analog Data Compression.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

Collaborative hierarchical sparse modeling.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Motion blur removal in nonlinear sensors.
Proceedings of the Computational Imaging VIII, 2010

Optimization techniques in modern sampling theory.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009
Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals.
IEEE Trans. Signal Process., 2009

High-Rate Interpolation of Random Signals From Nonideal Samples.
IEEE Trans. Signal Process., 2009

Compressed sensing of analog signals in shift-invariant spaces.
IEEE Trans. Signal Process., 2009

Generalized SURE for Exponential Families: Applications to Regularization.
IEEE Trans. Signal Process., 2009

Robust recovery of signals from a structured union of subspaces.
IEEE Trans. Inf. Theory, 2009

Uncertainty relations for shift-invariant analog signals.
IEEE Trans. Inf. Theory, 2009

A lower bound on the Bayesian MSE based on the optimal bias function.
IEEE Trans. Inf. Theory, 2009

Beyond bandlimited sampling.
IEEE Signal Process. Mag., 2009

Robust and Consistent Sampling.
IEEE Signal Process. Lett., 2009

On the Constrained CramÉr-Rao Bound With a Singular Fisher Information Matrix.
IEEE Signal Process. Lett., 2009

Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration.
Neural Comput., 2009

Optimization Techniques in Wireless Communications.
EURASIP J. Wirel. Commun. Netw., 2009

Xampling--Part I: Practice
CoRR, 2009

Expected RIP: Conditioning of The Modulated Wideband Converter
CoRR, 2009

Compressed Sensing of Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
CoRR, 2009

Low Rate Sampling Schemes for Time Delay Estimation
CoRR, 2009

Efficient Sampling of Sparse Wideband Analog Signals
CoRR, 2009

The Cramer-Rao Bound for Sparse Estimation.
CoRR, 2009

Block sparsity and sampling over a union of subspaces.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Robust downlink beamforming using covariance channel state information.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse source separation from orthogonal mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2009

Block-sparsity: Coherence and efficient recovery.
Proceedings of the IEEE International Conference on Acoustics, 2009

Analog compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds.
IEEE Trans. Signal Process., 2008

Zero-Forcing Precoding and Generalized Inverses.
IEEE Trans. Signal Process., 2008

Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors.
IEEE Trans. Signal Process., 2008

Nonuniform Sampling of Periodic Bandlimited Signals.
IEEE Trans. Signal Process., 2008

A Minimax Chebyshev Estimator for Bounded Error Estimation.
IEEE Trans. Signal Process., 2008

MSE Bounds With Affine Bias Dominating the CramÉr-Rao Bound.
IEEE Trans. Signal Process., 2008

Universal Weighted MSE Improvement of the Least-Squares Estimator.
IEEE Trans. Signal Process., 2008

Nonlinear and Nonideal Sampling: Theory and Methods.
IEEE Trans. Signal Process., 2008

A Comment on the Weiss-Weinstein Bound for Constrained Parameter Sets.
IEEE Trans. Inf. Theory, 2008

Rethinking biased estimation [Lecture Notes].
IEEE Signal Process. Mag., 2008

Beyond Bandlimited Sampling: Nonlinearities, Smoothness and Sparsity
CoRR, 2008

Uncertainty Relations for Analog Signals
CoRR, 2008

Robust Recovery of Signals From a Union of Subspaces
CoRR, 2008

Compressed Sensing of Analog Signals
CoRR, 2008

Spectrum-blind reconstruction of multi-band signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

Constrained nonlinear minimum mse estimation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Statistical aspects of the chebyshev center estimate.
Proceedings of the IEEE International Conference on Acoustics, 2008

The ReMBo algorithm: Accelerated recovery of jointly sparse vectors.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A fast and flexible method for the segmentation of aCGH data.
Proceedings of the ECCB'08 Proceedings, 2008

2007
Optimization of the MIMO Compound Capacity.
IEEE Trans. Wirel. Commun., 2007

A Unified Approach to Dual Gabor Windows.
IEEE Trans. Signal Process., 2007

An L<sub>1</sub>-Method for the Design of Linear-Phase FIR Digital Filters.
IEEE Trans. Signal Process., 2007

A Competitive Mean-Squared Error Approach to Beamforming.
IEEE Trans. Signal Process., 2007

Minimax Approximation of Representation Coefficients From Generalized Samples.
IEEE Trans. Signal Process., 2007

Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets.
IEEE Trans. Signal Process., 2007

Optimal Encoding of Classical Information in a Quantum Medium.
IEEE Trans. Inf. Theory, 2007

Blind Minimax Estimation.
IEEE Trans. Inf. Theory, 2007

Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty.
SIAM J. Matrix Anal. Appl., 2007

Regularization in Regression with Bounded Noise: A Chebyshev Center Approach.
SIAM J. Matrix Anal. Appl., 2007

Performance Tradeoffs Among Adaptive Beamforming Criteria.
J. Sel. Topics Signal Processing, 2007

Introduction to the Issue on Convex Optimization Methods for Signal Processing.
J. Sel. Topics Signal Processing, 2007

Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramér-Rao Bound.
Found. Trends Signal Process., 2007

A neural network implementing optimal state estimation based on dynamic spike train decoding.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

On the Gaussian MIMO Wiretap Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Minimum MSE Estimation with Convex Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2007

Improvement of Least-Squares Under Arbitrary Weighted MSE.
Proceedings of the IEEE International Conference on Acoustics, 2007

Optimal Generalized Inverses for Zero Forcing Precoding.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
Linear precoding via conic optimization for fixed MIMO receivers.
IEEE Trans. Signal Process., 2006

Nonideal sampling and interpolation from noisy observations in shift-invariant spaces.
IEEE Trans. Signal Process., 2006

A minimum squared-error framework for generalized sampling.
IEEE Trans. Signal Process., 2006

Mean-Squared Error Sampling and Reconstruction in the Presence of Noise.
IEEE Trans. Signal Process., 2006

Uniformly Improving the Cramér-Rao Bound and Maximum-Likelihood Estimation.
IEEE Trans. Signal Process., 2006

Comparing between estimation approaches: admissible and dominating linear estimators.
IEEE Trans. Signal Process., 2006

Minimax estimation of deterministic parameters in linear models with a random model matrix.
IEEE Trans. Signal Process., 2006

Minimax MSE estimation of deterministic parameters with noise covariance uncertainties.
IEEE Trans. Signal Process., 2006

Robust Competitive Estimation With Signal and Noise Covariance Uncertainties.
IEEE Trans. Inf. Theory, 2006

Maximum likelihood estimation in linear models with a Gaussian model matrix.
IEEE Signal Process. Lett., 2006

An expected least-squares beamforming approach to signal estimation with steering vector uncertainties.
IEEE Signal Process. Lett., 2006

Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints.
SIAM J. Optim., 2006

Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties.
Math. Program., 2006

Characterization of Oblique Dual Frame Pairs.
EURASIP J. Adv. Signal Process., 2006

Frames and Overcomplete Representations in Signal Processing, Communications, and Information Theory.
EURASIP J. Adv. Signal Process., 2006

Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

The Design of Optimal L1Linear Phase FIR Digital Filters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Dominating and Admissible Mse-Bounds Using Saddle-Point Methods.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Approximating Representation Coefficients From Non Ideal Samples.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Linear transmitter design for the MISO compound channel with interference.
Proceedings of the 14th European Signal Processing Conference, 2006

On signal representation from generalized samples: Minmax approximation with constraints.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Dual Gabor frames: theory and computational aspects.
IEEE Trans. Signal Process., 2005

Minimax MSE-ratio estimation with signal covariance uncertainties.
IEEE Trans. Signal Process., 2005

Robust mean-squared error estimation in the presence of model uncertainties.
IEEE Trans. Signal Process., 2005

Maximum set estimators with bounded estimation error.
IEEE Trans. Signal Process., 2005

A covariance shaping framework for linear multiuser detection.
IEEE Trans. Inf. Theory, 2005

Correction to "On the Asymptotic Performance of the Decorrelator" and "An Optimal Whitening Approach to Linear Multiuser Detection".
IEEE Trans. Inf. Theory, 2005

Robust deconvolution of deterministic and random signals.
IEEE Trans. Inf. Theory, 2005

Semidefinite Relaxation for Detection of 16-QAM Signaling in MIMO Channels.
IEEE Signal Process. Lett., 2005

General Framework for Consistent Sampling in Hilbert Spaces.
Int. J. Wavelets Multiresolution Inf. Process., 2005

Minimax subspace sampling in the presence of noise.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Minimax estimators dominating the least-squares estimator.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

MSE estimation of multichannel signals with model uncertainties.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Optimal squared-error signal recovery from nonideal samples.
Proceedings of the 13th European Signal Processing Conference, 2005

Robust deconvolution of noisy signals.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Rebuttal to "Comments on covariance shaping least-squares estimation".
IEEE Trans. Signal Process., 2004

A competitive minimax approach to robust estimation of random parameters.
IEEE Trans. Signal Process., 2004

Linear minimax regret estimation of deterministic parameters with bounded data uncertainties.
IEEE Trans. Signal Process., 2004

Minimum variance in biased estimation: bounds and asymptotically optimal estimators.
IEEE Trans. Signal Process., 2004

Optimal Detection of Symmetric Mixed Quantum States.
IEEE Trans. Inf. Theory, 2004

Orthogonal and projected orthogonal matched filter detection.
Signal Process., 2004

Efficient Gabor expansion using non minimal dual Gabor windows.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Reconstruction of nonuniformly sampled periodic signals: algorithms and stability analysis.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Minimax sampling with arbitrary spaces [signal sampling and reconstruction].
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Linear MIMO precoders for fixed receivers.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Robust peak distortion equalization.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Interpolation with nonuniform B-splines.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Minimax regret estimation in linear models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A robust maximum likelihood multiuser detector in the presence of signature uncertainties.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

MSE-ratio regret estimation with bounded data uncertainties.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Vector uniform Cramer-Rao lower bound.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Covariance shaping least-squares estimation.
IEEE Trans. Signal Process., 2003

MMSE whitening and subspace whitening.
IEEE Trans. Inf. Theory, 2003

Designing optimal quantum detectors via semidefinite programming.
IEEE Trans. Inf. Theory, 2003

On the asymptotic performance of the decorrelator.
IEEE Trans. Inf. Theory, 2003

An optimal whitening approach to linear multiuser detection.
IEEE Trans. Inf. Theory, 2003

Geometrically uniform frames.
IEEE Trans. Inf. Theory, 2003

A semidefinite programming approach to optimal unambiguous discrimination of quantumstates.
IEEE Trans. Inf. Theory, 2003

Constructing signals with prescribed properties.
IEEE Signal Process. Lett., 2003

Minimum mean-squared error covariance shaping.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Optimal tight frames and quantum measurement.
IEEE Trans. Inf. Theory, 2002

Quantum signal processing.
IEEE Signal Process. Mag., 2002

Orthogonal multiuser detection.
Signal Process., 2002

On geometric properties of the decorrelator.
IEEE Commun. Lett., 2002

2001
Quantum signal processing.
PhD thesis, 2001

On quantum detection and the square-root measurement.
IEEE Trans. Inf. Theory, 2001

Orthogonal matched filter detection.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Filterbank reconstruction of bandlimited signals from nonuniform and generalized samples.
IEEE Trans. Signal Process., 2000

Filter bank interpolation and reconstruction from generalized and recurrent nonuniform samples.
Proceedings of the IEEE International Conference on Acoustics, 2000


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