Waheed U. Bajwa

According to our database, Waheed U. Bajwa authored at least 137 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mitigating Data Injection Attacks on Federated Learning.

Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa

Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Learning of Tensor Generalized Linear Models with low Separation Rank.

Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Conference on Acoustics, 2024

Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis.

Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Programming Wireless Security Through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna.

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam

Adv. Intell. Syst., October, 2023

Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm.

Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa

IEEE Trans. Inf. Theory, April, 2023

A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks].

Joseph Shenouda, Waheed U. Bajwa

IEEE Signal Process. Mag., March, 2023

Structured Low-Rank Tensors for Generalized Linear Models.

Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa

Trans. Mach. Learn. Res., 2023

Real-Time In-Network Image Compression via Distributed Dictionary Learning.

Parul Pandey, Mehdi Rahmati, Waheed U. Bajwa, Dario Pompili

IEEE Trans. Mob. Comput., 2023

Accelerated gradient methods for nonconvex optimization: Escape trajectories from strict saddle points and convergence to local minima.

Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa

CoRR, 2023

C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA.

Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis.

Arpita Gang, Waheed U. Bajwa

IEEE Trans. Signal Process., 2022

BRIDGE: Byzantine-Resilient Decentralized Gradient Descent.

Cheng Fang, Zhixiong Yang, Waheed U. Bajwa

IEEE Trans. Signal Inf. Process. over Networks, 2022

Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis.

Haroon Raja, Waheed U. Bajwa

Trans. Mach. Learn. Res., 2022

A linearly convergent algorithm for distributed principal component analysis.

Arpita Gang, Waheed U. Bajwa

Signal Process., 2022

Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links.

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam

ACM J. Emerg. Technol. Comput. Syst., 2022

Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments.

Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell

Frontiers Artif. Intell., 2022

Space-Time Digitally-Coded Metamaterial Antenna Enabled Directional Modulation for Physical Layer Security.

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam

CoRR, 2022

A Machine Learning-Driven Analysis of Phantom E911 Calls.

Yang Hu, Batoul Taki, Waheed U. Bajwa, Manoop Talasila, Mukesh Mantan, Syed Anwar Aftab

Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient.

Arpita Gang, Waheed U. Bajwa

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation.

Arpita Gang, Bingqing Xiang, Waheed U. Bajwa

IEEE Trans. Signal Inf. Process. over Networks, 2021

Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT.

Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam

IEEE Trans. Cogn. Commun. Netw., 2021

A Guide to Reproducible Research in Signal Processing and Machine Learning.

Joseph Shenouda, Waheed U. Bajwa

CoRR, 2021

A hybrid model-based and learning-based approach for classification using limited number of training samples.

Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam

CoRR, 2021

Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm.

Rishabh Dixit, Waheed U. Bajwa

CoRR, 2021

Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples.

Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.

Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms.

Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

IEEE Trans. Signal Process., 2020

Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model.

Zhixiong Yang, Arpita Gang, Waheed U. Bajwa

IEEE Signal Process. Mag., 2020

Machine Learning From Distributed, Streaming Data [From the Guest Editors].

Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione

IEEE Signal Process. Mag., 2020

Tensor Regression Using Low-Rank and Sparse Tucker Decompositions.

Talal Ahmed, Haroon Raja, Waheed U. Bajwa

SIAM J. Math. Data Sci., 2020

Scaling-Up Distributed Processing of Data Streams for Machine Learning.

Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa

Proc. IEEE, 2020

Optimization for Data-Driven Learning and Control.

Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed

Proc. IEEE, 2020

Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points.

Rishabh Dixit, Waheed U. Bajwa

CoRR, 2020

Learning Product Graphs Underlying Smooth Graph Signals.

Muhammad Asad Lodhi, Waheed U. Bajwa

CoRR, 2020

2019

ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning.

Zhixiong Yang, Waheed U. Bajwa

IEEE Trans. Signal Inf. Process. over Networks, 2019

Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks.

Matthew S. Nokleby, Waheed U. Bajwa

IEEE Trans. Signal Inf. Process. over Networks, 2019

ExSIS: Extended sure independence screening for ultrahigh-dimensional linear models.

Talal Ahmed, Waheed U. Bajwa

Signal Process., 2019

Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized.

Zhixiong Yang, Arpita Gang, Waheed U. Bajwa

CoRR, 2019

BRIDGE: Byzantine-resilient Decentralized Gradient Descent.

Zhixiong Yang, Waheed U. Bajwa

CoRR, 2019

Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems.

Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning.

Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Symposium on Information Theory, 2019

Fast and Communication-efficient Distributed Pca.

Arpita Gang, Haroon Raja, Waheed U. Bajwa

Proceedings of the IEEE International Conference on Acoustics, 2019

PAC Learning from Distributed Data in the Presence of Malicious Nodes.

Zhixiong Yang, Waheed U. Bajwa

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Detection Theory for Union of Subspaces.

Muhammad Asad Lodhi, Waheed U. Bajwa

IEEE Trans. Signal Process., 2018

Minimax Lower Bounds on Dictionary Learning for Tensor Data.

Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

IEEE Trans. Inf. Theory, 2018

A Low Tensor-Rank Representation Approach for Clustering of Imaging Data.

Tong Wu, Waheed U. Bajwa

IEEE Signal Process. Lett., 2018

Identifiability of Kronecker-Structured Dictionaries for Tensor Data.

Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

IEEE J. Sel. Top. Signal Process., 2018

Sparsity-Based Joint NBI and Impulse Noise Mitigation in Hybrid PLC-Wireless Transmissions.

Mahmoud Elgenedy, Mohamed Mokhtar, Ridha Hamila, Waheed U. Bajwa, Ahmed S. Ibrahim, Naofal Al-Dhahir

IEEE Access, 2018

Union of Subspaces Signal Detection In Subspace Interference.

Muhammad Asad Lodhi, Waheed U. Bajwa

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

How Secure are Multicarrier Communication Systems Against Signal Exploitation Attacks?

Alireza Nooraiepour, Kenza Hamidouche, Waheed U. Bajwa, Narayan B. Mandayam

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Flipping Large Classes on a Shoestring Budget.

Waheed U. Bajwa

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Robust Distributed Dictionary Learning for In-Network Image Compression.

Parul Pandey, Mehdi Rahmati, Dario Pompili, Waheed U. Bajwa

Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

BYRDIE: A Byzantine-Resilient Distributed Learning Algorithm.

Zhixiong Yang, Waheed U. Bajwa

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers.

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir

IEEE Trans. Wirel. Commun., 2017

On "Flipping" a Large Signal Processing Class [SP Education].

Waheed U. Bajwa

IEEE Signal Process. Mag., 2017

Sample complexity bounds for dictionary learning of tensor data.

Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Recent developments in distributed dictionary learning.

Haroon Raja, Waheed U. Bajwa

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Identification of kronecker-structured dictionaries: An asymptotic analysis.

Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Distributed mirror descent for stochastic learning over rate-limited networks.

Matthew S. Nokleby, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

STARK: Structured dictionary learning through rank-one tensor recovery.

Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Correlation-Based ultrahigh-dimensional variable screening.

Talal Ahmed, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Generalized geometric programming for rate allocation in consensus.

Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Through-the-wall radar imaging using a distributed Quasi-Newton method.

Haroon Raja, Waheed U. Bajwa, Fauzia Ahmad

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data.

Haroon Raja, Waheed U. Bajwa

IEEE Trans. Signal Process., 2016

Passive RFID for Object and Use Detection during Trauma Resuscitation.

Siddika Parlak, Ivan Marsic, Aleksandra Sarcevic, Waheed U. Bajwa, Lauren J. Waterhouse, Randall S. Burd

IEEE Trans. Mob. Comput., 2016

Human Action Attribute Learning From Video Data Using Low-Rank Representations.

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

CoRR, 2016

Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers.

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Clustering-aware structure-constrained low-rank representation model for learning human action attributes.

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Minimax lower bounds for Kronecker-structured dictionary learning.

Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Symposium on Information Theory, 2016

Revisiting maximal response-based local identification of overcomplete dictionaries.

Zahra Shakeri, Waheed U. Bajwa

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Design and analysis framework for sparse FIR channel shortening.

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir

Proceedings of the 2016 IEEE International Conference on Communications, 2016

RD-SVM: A resilient distributed support vector machine.

Zhixiong Yang, Waheed U. Bajwa

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deterministic measurement procedures for diagnosis of massive uniform linear antenna arrays.

Mohamed Mokhtar, Ridha Hamila, Waheed Uz Zaman Bajwa, Naofal Al-Dhahir

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms.

Tong Wu, Waheed U. Bajwa

IEEE Trans. Signal Process., 2015

Identification of Linear Time-Varying Systems Through Waveform Diversity.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

IEEE Trans. Signal Process., 2015

Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression.

Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank

IEEE Trans. Inf. Theory, 2015

MIMO-MC radar: A MIMO radar approach based on matrix completion.

Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu

IEEE Trans. Aerosp. Electron. Syst., 2015

Sparsity-aware joint narrowband interference and impulse noise mitigation for hybrid powerline-wireless transmission.

Mohamed Mokhtar, Waheed U. Bajwa, Naofal Al-Dhahir

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Exploiting block sparsity for joint mitigation of asynchronous NBI and IN in hybrid powerline-wireless communications.

Mohamed Mokhtar, Waheed U. Bajwa, Mahmoud Elgenedy, Naofal Al-Dhahir

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

A convergence analysis of distributed dictionary learning based on the K-SVD algorithm.

Haroon Raja, Waheed U. Bajwa

Proceedings of the IEEE International Symposium on Information Theory, 2015

Hierarchical Union-of-Subspaces Model for Human Activity Summarization.

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Metric-Constrained Kernel Union of Subspaces.

Tong Wu, Waheed U. Bajwa

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A general framework for the design and analysis of sparse FIR linear equalizers.

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Deterministic selection of pilot tones for compressive estimation of MIMO-OFDM channels.

Zahra Shakeri, Waheed U. Bajwa

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing.

Waheed U. Bajwa, Dustin G. Mixon

CoRR, 2014

Subspace detection in a kernel space: The missing data case.

Tong Wu, Waheed U. Bajwa

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A greedy, adaptive approach to learning geometry of nonlinear manifolds.

Talal Ahmed, Waheed U. Bajwa

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Information in tweets: Analysis of a bufferless timing channel model.

Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models.

Tong Wu, Waheed U. Bajwa

Proceedings of the IEEE International Conference on Acoustics, 2014

Dictionary learning based nonlinear classifier training from distributed data.

Zahra Shakeri, Haroon Raja, Waheed U. Bajwa

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Geometrie manifold approximation using union of tangent patches.

Talal Ahmed, Waheed U. Bajwa

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Capacity analysis of a discrete-time bufferless timing channel.

Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs.

Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Efficient linear time-varying system identification using chirp waveforms.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

A Constrained Random Demodulator for Sub-Nyquist Sampling.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

IEEE Trans. Signal Process., 2013

Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation.

Kalyani Krishnamurthy, Waheed U. Bajwa, Rebecca Willett

SIAM J. Imaging Sci., 2013

Toward Resource-Optimal Consensus Over the Wireless Medium.

Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang

IEEE J. Sel. Top. Signal Process., 2013

Finding Zeros: Greedy Detection of Holes

Juhwan Yoo, Yao Xie, Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

CoRR, 2013

Target estimation in colocated MIMO radar via matrix completion.

Shunqiao Sun, Athina P. Petropulu, Waheed U. Bajwa

Proceedings of the IEEE International Conference on Acoustics, 2013

Resource tradeoffs in distributed subspace tracking over the wireless medium.

Matthew S. Nokleby, Waheed U. Bajwa

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Shaping the power spectra of bipolar sequences with application to sub-Nyquist sampling.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Resource-efficient parametric recovery of linear time-varying systems.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Bits through bufferless queues.

Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Cloud K-SVD: Computing data-adaptive representations in the cloud.

Haroon Raja, Waheed U. Bajwa

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Special issue on compressive sensing in communications.

Waheed U. Bajwa, Geert Leus, Anna Scaglione, Milica Stojanovic, Zhi Tian

Phys. Commun., 2012

Asynchronous code-division random access using convex optimization.

Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank

Phys. Commun., 2012

Faster than Nyquist but Slower than Tropp et al

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

CoRR, 2012

Hierarchical averaging over wireless sensor networks.

Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Group model selection using marginal correlations: The good, the bad and the Ugly.

Waheed U. Bajwa, Dustin G. Mixon

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Toward resource-optimal averaging consensus over the wireless medium.

Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Rapid sensing of underutilized, wideband spectrum using the Random Demodulator.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Identification of Parametric Underspread Linear Systems and Super-Resolution Radar.

Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar

IEEE Trans. Signal Process., 2011

Frame coherence and sparse signal processing.

Dustin G. Mixon, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Deterministic pilot sequences for sparse channel estimation in OFDM systems.

Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Jarvis D. Haupt, Robert Nowak

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Beating nyquist through correlations: A constrained random demodulator for sampling of sparse bandlimited signals.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the IEEE International Conference on Acoustics, 2011

On the identification of parametric underspread linear systems.

Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2011

Faster than Nyquist, slower than Tropp.

Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Gossiping in groups: Distributed averaging over the wireless medium.

Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Choir codes: Coding for full duplex interference management.

Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Stephen D. Howard

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation.

Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak

IEEE Trans. Inf. Theory, 2010

Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels.

Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak

Proc. IEEE, 2010

Why Gabor frames? Two fundamental measures of coherence and their role in model selection.

Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour

J. Commun. Networks, 2010

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

Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar

CoRR, 2010

Model selection: Two fundamental measures of coherence and their algorithmic significance.

Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour

Proceedings of the IEEE International Symposium on Information Theory, 2010

Revisiting model selection and recovery of sparse signals using one-step thresholding.

Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Multiuser detection in asynchronous on-off random access channels using lasso.

Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Why Gabor Frames? Two Fundamental Measures of Coherence and their Geometric Significance

Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour

CoRR, 2009

A restricted isometry property for structurally-subsampled unitary matrices.

Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Compressed Sensing for Networked Data.

Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak

IEEE Signal Process. Mag., 2008

Compressed channel sensing.

Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Learning sparse doubly-selective channels.

Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Compressed sensing of wireless channels in time, frequency, and space.

Waheed U. Bajwa, Akbar M. Sayeed, Robert D. Nowak

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Joint Source-Channel Communication for Distributed Estimation in Sensor Networks.

Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak

IEEE Trans. Inf. Theory, 2007

2006

Compressive wireless sensing.

Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles.

Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Matched source-channel communication for field estimation in wireless sensor networks.

Waheed Uz Zaman Bajwa, Akbar M. Sayeed, Robert D. Nowak

Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, 2005

2002

A retargetable tool-suite for the design of application specific instruction set processors using a machine description language.

Adeel Abbas, Arslan Ahmed, Affan Ahmed, Waheed Uz Zaman Bajwa, Ahtasham Anwar, Sohail Abbasi

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002