Miguel R. D. Rodrigues

Orcid: 0000-0002-8908-847X

Affiliations:
  • University College London, Deptartment of Electronic & Electrical Engineering


According to our database1, Miguel R. D. Rodrigues authored at least 199 papers between 2002 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2023, "For contributions to multimodal data processing and foundations of reliable and secure communications".

Timeline

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Bibliography

2024
Hyperspectral Blind Unmixing Using a Double Deep Image Prior.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm.
IEEE Trans. Inf. Theory, January, 2024

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

Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks.
Trans. Mach. Learn. Res., 2024

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions.
IEEE J. Sel. Areas Inf. Theory, 2024

Federated Fairness without Access to Sensitive Groups.
CoRR, 2024

SAE: Single Architecture Ensemble Neural Networks.
CoRR, 2024

Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Deep Joint Source-Channel Coding for Image Transmission With Visual Protection.
IEEE Trans. Cogn. Commun. Netw., December, 2023

On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches.
Entropy, July, 2023

Image Separation With Side Information: A Connected Auto-Encoders Based Approach.
IEEE Trans. Image Process., 2023

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

Impact of Noise on Calibration and Generalisation of Neural Networks.
CoRR, 2023

An information-Theoretic Approach to Semi-supervised Transfer Learning.
CoRR, 2023

An Online Learning Method for Microgrid Energy Management Control<sup>*</sup>.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

On the Generalization Error of Meta Learning for the Gibbs Algorithm.
Proceedings of the IEEE International Symposium on Information Theory, 2023

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

BITS-Net: Blind Image Transparency Separation Network.
Proceedings of the IEEE International Conference on Image Processing, 2023

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations.
IEEE Trans. Parallel Distributed Syst., 2022

Mixed X-Ray Image Separation for Artworks With Concealed Designs.
IEEE Trans. Image Process., 2022

ADMM-Based Hyperspectral Unmixing Networks for Abundance and Endmember Estimation.
IEEE Trans. Geosci. Remote. Sens., 2022

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules.
IEEE Trans. Circuits Syst. Video Technol., 2022

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing.
IEEE J. Sel. Top. Signal Process., 2022

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions.
CoRR, 2022

Semi-Counterfactual Risk Minimization Via Neural Networks.
CoRR, 2022

Simple Regularisation for Uncertainty-Aware Knowledge Distillation.
CoRR, 2022

Tighter Expected Generalization Error Bounds via Convexity of Information Measures.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Blind Unmixing Using A Double Deep Image Prior.
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

Minimax Demographic Group Fairness in Federated Learning.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Deep Learning Model-Aware Regulatization With Applications to Inverse Problems.
IEEE Trans. Signal Process., 2021

Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach.
CoRR, 2021

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

Federating for Learning Group Fair Models.
CoRR, 2021

Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information.
CoRR, 2021

High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks.
CoRR, 2021

On the effects of quantisation on model uncertainty in Bayesian neural networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

An Exact Characterization of the Generalization Error for the Gibbs Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Blind Pareto Fairness and Subgroup Robustness.
Proceedings of the 38th International Conference on Machine Learning, 2021

An ADMM Based Network for Hyperspectral Unmixing Tasks.
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

Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework.
Proceedings of the IEEE International Conference on Acoustics, 2021

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach.
Proceedings of the IEEE Global Communications Conference, 2021

Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator.
Proceedings of the International Conference on Field-Programmable Technology, 2021

A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs.
Proceedings of the 29th European Signal Processing Conference, 2021

Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers.
Proceedings of the 29th European Signal Processing Conference, 2021

High-Performance FPGA-based Accelerator for Bayesian Neural Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation.
IEEE Trans. Signal Process., 2020

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

RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries.
IEEE Trans. Computational Imaging, 2020

Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.
IEEE Trans. Biomed. Circuits Syst., 2020

Image Separation with Side Information: A Connected Auto-Encoders Based Approach.
CoRR, 2020

VINNAS: Variational Inference-based Neural Network Architecture Search.
CoRR, 2020

Model-Aware Regularization For Learning Approaches To Inverse Problems.
CoRR, 2020

Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE Information Theory Workshop, 2020

A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting.
CoRR, 2019

Deep Learning for Inverse Problems: Bounds and Regularizers.
CoRR, 2019

Adversarially Learned Representations for Information Obfuscation and Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Lautum Regularization for Semi-Supervised Transfer Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network.
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

2018
Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals?
IEEE Trans. Signal Process., 2018

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

Generalization Error in Deep Learning.
CoRR, 2018

Learning to Collaborate for User-Controlled Privacy.
CoRR, 2018

Data aggregation and recovery for the Internet of Things: A compressive demixing approach.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Multi-Modal Image Processing Based on Coupled Dictionary Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multimodal Image Denoising Based on Coupled Dictionary Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Entry-wise Matrix Completion from Noisy Entries.
Proceedings of the 26th European Signal Processing Conference, 2018

On Deep Learning for Inverse Problems.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Robust Large Margin Deep Neural Networks.
IEEE Trans. Signal Process., 2017

Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds.
IEEE Trans. Inf. Theory, 2017

Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.
IEEE Trans. Image Process., 2017

Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior.
IEEE Trans. Commun., 2017

Information-Theoretic Compressive Measurement Design.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems.
CoRR, 2017

Learning to Identify While Failing to Discriminate.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

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

Generalization Error of Invariant Classifiers.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.
IEEE Trans. Signal Process., 2016

Bounds on the Number of Measurements for Reliable Compressive Classification.
IEEE Trans. Signal Process., 2016

Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.
IEEE Trans. Signal Process., 2016

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Inf. Theory, 2016

Margin Preservation of Deep Neural Networks.
CoRR, 2016

Measurement matrix design for compressive sensing with side information at the encoder.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

On the design of linear projections for compressive sensing with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Internet-of-Things data aggregation using compressed sensing with side information.
Proceedings of the 23rd International Conference on Telecommunications, 2016

Energy harvesting for the Internet-of-Things: Measurements and probability models.
Proceedings of the 23rd International Conference on Telecommunications, 2016

X-ray image separation via coupled dictionary learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A general framework for reconstruction and classification from compressive measurements with side information.
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

Signal reconstruction in the presence of side information: The impact of projection kernel design.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Coupled dictionary learning for multimodal image super-resolution.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Bayesian Compressed Sensing with Heterogeneous Side Information.
Proceedings of the 2016 Data Compression Conference, 2016

2015
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
IEEE Trans. Inf. Theory, 2015

Dictionary Design for Distributed Compressive Sensing.
IEEE Signal Process. Lett., 2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sci., 2015

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.
CoRR, 2015

A concentration-of-measure inequality for multiple-measurement models.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Mismatch in the classification of linear subspaces: Upper bound to the probability of error.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Alignment with intra-class structure can improve classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A feature design framework for hardware efficient neural spike sorting.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.
IEEE Trans. Signal Process., 2014

A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels.
IEEE Trans. Inf. Theory, 2014

Multiple-Antenna Fading Channels With Arbitrary Inputs: Characterization and Optimization of the Information Rate.
IEEE Trans. Inf. Theory, 2014

Fading Channels With Arbitrary Inputs: Asymptotics of the Constrained Capacity and Information and Estimation Measures.
IEEE Trans. Inf. Theory, 2014

Best binary equivocation code construction for syndrome coding.
IET Commun., 2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014

Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation.
CoRR, 2014

Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds.
CoRR, 2014

Nonlinear Information-Theoretic Compressive Measurement Design.
Proceedings of the 31th International Conference on Machine Learning, 2014

Latent sentiment detection in Online Social Networks: A communications-oriented view.
Proceedings of the IEEE International Conference on Communications, 2014

Information-theoretic criteria for the design of compressive subspace classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed sensing with side information: Geometrical interpretation and performance bounds.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Filter Design With Secrecy Constraints: The MIMO Gaussian Wiretap Channel.
IEEE Trans. Signal Process., 2013

Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach.
IEEE Trans. Signal Process., 2013

Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications.
IEEE Signal Process. Lett., 2013

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond.
CoRR, 2013

Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing.
CoRR, 2013

Designed Measurements for Vector Count Data.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Compressive classification.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Characterization and optimization of the constrained capacity of coherent fading channels driven by arbitrary inputs: A Mellin transform based asymptotic approach.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On the comprehension of DSL SyncTrap events in IPTV networks.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer.
Proceedings of IEEE International Conference on Communications, 2013

Compressive sensing for incoherent imaging systems with optical constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing?
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Projections designs for compressive classification.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2012

On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications.
IEEE Signal Process. Lett., 2012

Communications-Inspired Projection Design with Application to Compressive Sensing.
SIAM J. Imaging Sci., 2012

Coherent Fading Channels Driven by Arbitrary Inputs: Asymptotic Characterization of the Constrained Capacity and Related Information- and Estimation-Theoretic Quantities.
CoRR, 2012

A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer.
Proceedings of the ICCS'12: The 12th International Conference on Communication Systems, 2012

Orthogonal Signalling in the Gaussian Wiretap Channel in the Wideband Regime.
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

Filter design with secrecy constraints: Zero-forcing constraint at the legitimate receiver.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Characterization of the constrained capacity of multiple-antenna fading coherent channels driven by arbitrary inputs.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Communications Inspired Linear Discriminant Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks.
Proceedings of IEEE International Conference on Communications, 2012

How to focus the discriminative power of a dictionary.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On the design of optimized projections for sensing sparse signals in overcomplete dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
On Wireless Channels With varepsilon-Outage Secrecy Capacity.
IEEE Trans. Inf. Forensics Secur., 2011

Characterization of Demapper EXIT Functions with BEC a priori Information with Applications to BICM-ID.
IEEE Trans. Commun., 2011

Filter Design with Secrecy Constraints: The Degraded Multiple-Input Multiple-Output Gaussian Wiretap Channel.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

On the constrained capacity of multi-antenna fading coherent channels with discrete inputs.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Distributed Compressive Sensing Reconstruction via Common Support Discovery.
Proceedings of IEEE International Conference on Communications, 2011

Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

When to add another dimension when communicating over MIMO channels.
Proceedings of the IEEE International Conference on Acoustics, 2011

Penalized L1 minimization for reconstruction of time-varying sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

Design of filters for reliable and secure communications conditional mean estimation at the eavesdropper.
Proceedings of EUROCON 2011, 2011

2010
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation.
IEEE Trans. Inf. Theory, 2010

Performance-complexity tradeoff of convolutional codes for broadband fixed wireless access systems.
IET Commun., 2010

A Fast Constrained Sphere Decoder for Ill Conditioned Communication Systems.
IEEE Commun. Lett., 2010

Joint channel equalization and detection of Spectrally Efficient FDM signals.
Proceedings of the IEEE 21st International Symposium on Personal, 2010

Modelling the decoder and demapper EXIT chart curves in BICM-ID systems: BEC approximations.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity.
Proceedings of the Global Communications Conference, 2010

2009
The augmented state diagram and its application to convolutional and turbo codes.
IEEE Trans. Commun., 2009

Analysis and design of punctured rate-1/2 turbo codes exhibiting low error floors.
IEEE J. Sel. Areas Commun., 2009

Investigation of a Semidefinite Programming detection for a spectrally efficient FDM system.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

On multiple-input multiple-output Gaussian channels with arbitrary inputs subject to jamming.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity.
Proceedings of IEEE International Conference on Communications, 2009

2008
Wireless Information-Theoretic Security.
IEEE Trans. Inf. Theory, 2008

Performance analysis of turbo codes in quasi-static fading channels.
IET Commun., 2008

Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Optimal Precoding for Digital Subscriber Lines.
Proceedings of IEEE International Conference on Communications, 2008

Filter Design with Secrecy Constraints: The Degraded Parallel Gaussian Wiretap Channel.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal.
Proceedings of the 5th International ICST Conference on Broadband Communications, 2008

2007
Comparison of Convolutional and Turbo Coding for Broadband FWA Systems.
IEEE Trans. Broadcast., 2007

Lattice-reduction-aided detection for MIMO-OFDM-CDM communication systems.
IET Commun., 2007

Can Punctured Rate-1/2 Turbo Codes Achieve a Lower Error Floor than their Rate-1/3 Parent Codes?
CoRR, 2007

On the Performance of Iterative Demapping and Decoding Techniques over Quasi-Static Fading Channels.
Proceedings of the IEEE 18th International Symposium on Personal, 2007

Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2007

A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
IMD reduction with SLM and PTS to improve the error-probability performance of nonlinearly distorted OFDM signals.
IEEE Trans. Veh. Technol., 2006

Wireless Information-Theoretic Security - Part II: Practical Implementation
CoRR, 2006

Wireless Information-Theoretic Security - Part I: Theoretical Aspects
CoRR, 2006

Secrecy Capacity of Wireless Channels.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

A Novel Technique To Evaluate the Transfer Function of Punctured Turbo Codes.
Proceedings of IEEE International Conference on Communications, 2006

2005
On the performance of turbo codes in quasi-static fading channels.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
SLM and PTS based on an IMD reduction strategy to improve the error probability performance of non-linearly distorted OFDM signals.
Proceedings of IEEE International Conference on Communications, 2004

2002
Performance assessment of MC-CDMA and MC-DS-CDMA in the presence of high power amplifier non-linearities.
Proceedings of the 55th IEEE Vehicular Technology Conference, 2002

Analysis of the influence of Walsh-Hadamard code allocation strategies on the performance of multi-carrier CDMA systems in the presence of HPA non-linearities.
Proceedings of the 13th IEEE International Symposium on Personal, 2002


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