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ORCIDWaheed U. Bajwa
Waheed Uz Zaman Bajwa
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- affiliation: Rutgers University, WINLAB, North Brunswick, NJ, USA
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2020 – today
- 2024
[c76]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS 2024: 1-6- [c75]Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate:
Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP 2024: 2136-2140 - [c74]Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa:
Mitigating Data Injection Attacks on Federated Learning. ICASSP 2024: 9116-9120 - 2023
- [j46]Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu
, Waheed U. Bajwa, Narayan B. Mandayam:
Programming Wireless Security Through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna. Adv. Intell. Syst. 5(10) (2023) - [j45]Joseph Shenouda, Waheed U. Bajwa:
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks]. IEEE Signal Process. Mag. 40(2): 141-151 (2023) - [j44]Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa:
Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. IEEE Trans. Inf. Theory 69(4): 2556-2602 (2023) - [j43]Parul Pandey, Mehdi Rahmati, Waheed U. Bajwa, Dario Pompili:
Real-Time In-Network Image Compression via Distributed Dictionary Learning. IEEE Trans. Mob. Comput. 22(1): 472-486 (2023) - [j42]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. 2023 (2023) - [c73]Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa:
C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. CISS 2023: 1-6 - [i49]Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa:
Accelerated gradient methods for nonconvex optimization: Escape trajectories from strict saddle points and convergence to local minima. CoRR abs/2307.07030 (2023) - [i48]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. CoRR abs/2308.02922 (2023) - [i47]Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa:
Mitigating Data Injection Attacks on Federated Learning. CoRR abs/2312.02102 (2023) - 2022
- [j41]Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell:
Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments. Frontiers Artif. Intell. 5: 832909 (2022) - [j40]Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam:
Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links. ACM J. Emerg. Technol. Comput. Syst. 18(4): 64:1-64:20 (2022) - [j39]Arpita Gang, Waheed U. Bajwa:
A linearly convergent algorithm for distributed principal component analysis. Signal Process. 193: 108408 (2022) - [j38]Haroon Raja, Waheed U. Bajwa:
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. Trans. Mach. Learn. Res. 2022 (2022) - [j37]Cheng Fang, Zhixiong Yang, Waheed U. Bajwa:
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent. IEEE Trans. Signal Inf. Process. over Networks 8: 610-626 (2022) - [j36]Arpita Gang, Waheed U. Bajwa:
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. IEEE Trans. Signal Process. 70: 6080-6095 (2022) - [c72]Arpita Gang, Waheed U. Bajwa:
The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient. EUSIPCO 2022: 732-736 - [c71]Yang Hu, Batoul Taki, Waheed U. Bajwa, Manoop Talasila, Mukesh Mantan, Syed Anwar Aftab:
A Machine Learning-Driven Analysis of Phantom E911 Calls. WiseML@WiSec 2022: 69-74 - [i46]Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam:
Space-Time Digitally-Coded Metamaterial Antenna Enabled Directional Modulation for Physical Layer Security. CoRR abs/2211.09076 (2022) - 2021
- [j35]Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. IEEE Trans. Cogn. Commun. Netw. 7(1): 239-254 (2021) - [j34]Arpita Gang, Bingqing Xiang, Waheed U. Bajwa:
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. IEEE Trans. Signal Inf. Process. over Networks 7: 699-715 (2021) - [c70]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC 2021: 477-484 - [c69]Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples. MLSP 2021: 1-6 - [i45]Arpita Gang, Waheed U. Bajwa:
A Linearly Convergent Algorithm for Distributed Principal Component Analysis. CoRR abs/2101.01300 (2021) - [i44]Rishabh Dixit, Waheed U. Bajwa:
Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. CoRR abs/2101.02625 (2021) - [i43]Bingqing Xiang, Arpita Gang, Waheed U. Bajwa:
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. CoRR abs/2103.06406 (2021) - [i42]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR abs/2105.14673 (2021) - [i41]Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
A hybrid model-based and learning-based approach for classification using limited number of training samples. CoRR abs/2106.13436 (2021) - [i40]Arpita Gang, Waheed U. Bajwa:
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. CoRR abs/2108.12373 (2021) - [i39]Joseph Shenouda, Waheed U. Bajwa:
A Guide to Reproducible Research in Signal Processing and Machine Learning. CoRR abs/2108.12383 (2021) - [i38]Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell:
Domain-informed neural networks for interaction localization within astroparticle experiments. CoRR abs/2112.07995 (2021) - 2020
- [j33]Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed:
Optimization for Data-Driven Learning and Control. Proc. IEEE 108(11): 1863-1868 (2020) - [j32]Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa:
Scaling-Up Distributed Processing of Data Streams for Machine Learning. Proc. IEEE 108(11): 1984-2012 (2020) - [j31]Talal Ahmed, Haroon Raja, Waheed U. Bajwa:
Tensor Regression Using Low-Rank and Sparse Tucker Decompositions. SIAM J. Math. Data Sci. 2(4): 944-966 (2020) - [j30]Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione:
Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. 37(3): 11-13 (2020) - [j29]Zhixiong Yang, Arpita Gang, Waheed U. Bajwa:
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model. IEEE Signal Process. Mag. 37(3): 146-159 (2020) - [j28]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68: 33-48 (2020) - [i37]Haroon Raja, Waheed U. Bajwa:
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. CoRR abs/2001.01017 (2020) - [i36]Muhammad Asad Lodhi, Waheed U. Bajwa:
Learning Product Graphs Underlying Smooth Graph Signals. CoRR abs/2002.11277 (2020) - [i35]Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa:
Scaling-up Distributed Processing of Data Streams for Machine Learning. CoRR abs/2005.08854 (2020) - [i34]Rishabh Dixit, Waheed U. Bajwa:
Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points. CoRR abs/2006.01106 (2020)
2010 – 2019
- 2019
- [j27]Talal Ahmed, Waheed U. Bajwa:
ExSIS: Extended sure independence screening for ultrahigh-dimensional linear models. Signal Process. 159: 33-48 (2019) - [j26]Matthew S. Nokleby, Waheed U. Bajwa:
Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks. IEEE Trans. Signal Inf. Process. over Networks 5(1): 152-167 (2019) - [j25]Zhixiong Yang, Waheed U. Bajwa:
ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning. IEEE Trans. Signal Inf. Process. over Networks 5(4): 611-627 (2019) - [c68]Zhixiong Yang, Waheed U. Bajwa:
PAC Learning from Distributed Data in the Presence of Malicious Nodes. CAMSAP 2019: 186-190 - [c67]Arpita Gang, Haroon Raja, Waheed U. Bajwa:
Fast and Communication-efficient Distributed Pca. ICASSP 2019: 7450-7454 - [c66]Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT 2019: 2294-2298 - [c65]Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa:
Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC 2019: 1-5 - [i33]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR abs/1903.09284 (2019) - [i32]Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. CoRR abs/1908.00195 (2019) - [i31]Zhixiong Yang, Waheed U. Bajwa:
BRIDGE: Byzantine-resilient Decentralized Gradient Descent. CoRR abs/1908.08098 (2019) - [i30]Zhixiong Yang, Arpita Gang, Waheed U. Bajwa:
Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized. CoRR abs/1908.08649 (2019) - [i29]Talal Ahmed, Haroon Raja, Waheed U. Bajwa:
Tensor Regression Using Low-rank and Sparse Tucker Decompositions. CoRR abs/1911.03725 (2019) - 2018
- [j24]Mahmoud Elgenedy, Mohamed Mokhtar, Ridha Hamila, Waheed U. Bajwa, Ahmed S. Ibrahim, Naofal Al-Dhahir:
Sparsity-Based Joint NBI and Impulse Noise Mitigation in Hybrid PLC-Wireless Transmissions. IEEE Access 6: 30280-30295 (2018) - [j23]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. 12(5): 1047-1062 (2018) - [j22]Tong Wu, Waheed U. Bajwa:
A Low Tensor-Rank Representation Approach for Clustering of Imaging Data. IEEE Signal Process. Lett. 25(8): 1196-1200 (2018) - [j21]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory 64(4): 2706-2726 (2018) - [j20]Muhammad Asad Lodhi, Waheed U. Bajwa:
Detection Theory for Union of Subspaces. IEEE Trans. Signal Process. 66(24): 6347-6362 (2018) - [c64]Zhixiong Yang, Waheed U. Bajwa:
BYRDIE: A Byzantine-Resilient Distributed Learning Algorithm. DSW 2018: 21-25 - [c63]Parul Pandey, Mehdi Rahmati, Dario Pompili, Waheed U. Bajwa:
Robust Distributed Dictionary Learning for In-Network Image Compression. ICAC 2018: 61-70 - [c62]Waheed U. Bajwa:
Flipping Large Classes on a Shoestring Budget. ICASSP 2018: 7006-7010 - [c61]Alireza Nooraiepour, Kenza Hamidouche, Waheed U. Bajwa, Narayan B. Mandayam:
How Secure are Multicarrier Communication Systems Against Signal Exploitation Attacks? MILCOM 2018: 201-206 - [c60]Muhammad Asad Lodhi, Waheed U. Bajwa:
Union of Subspaces Signal Detection In Subspace Interference. SSP 2018: 548-552 - 2017
- [j19]Waheed U. Bajwa:
On "Flipping" a Large Signal Processing Class [SP Education]. IEEE Signal Process. Mag. 34(4): 158-170 (2017) - [j18]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. IEEE Trans. Wirel. Commun. 16(4): 2576-2586 (2017) - [c59]Haroon Raja, Waheed U. Bajwa, Fauzia Ahmad:
Through-the-wall radar imaging using a distributed Quasi-Newton method. ACSSC 2017: 85-89 - [c58]Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa:
Generalized geometric programming for rate allocation in consensus. Allerton 2017: 374-381 - [c57]Talal Ahmed, Waheed U. Bajwa:
Correlation-Based ultrahigh-dimensional variable screening. CAMSAP 2017: 1-5 - [c56]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP 2017: 1-5 - [c55]Matthew S. Nokleby, Waheed U. Bajwa:
Distributed mirror descent for stochastic learning over rate-limited networks. CAMSAP 2017: 1-5 - [c54]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP 2017: 1-5 - [c53]Haroon Raja, Waheed U. Bajwa:
Recent developments in distributed dictionary learning. CISS 2017: 1 - [c52]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample complexity bounds for dictionary learning of tensor data. ICASSP 2017: 4501-4505 - [i28]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. CoRR abs/1702.01425 (2017) - [i27]Matthew S. Nokleby, Waheed U. Bajwa:
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks. CoRR abs/1704.07888 (2017) - [i26]Talal Ahmed, Waheed U. Bajwa:
ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models. CoRR abs/1708.06077 (2017) - [i25]Zhixiong Yang, Waheed U. Bajwa:
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning. CoRR abs/1708.08155 (2017) - [i24]Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa:
Generalized Geometric Programming for Rate Allocation in Consensus. CoRR abs/1710.09041 (2017) - [i23]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR abs/1711.04887 (2017) - [i22]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR abs/1712.03471 (2017) - 2016
- [j17]Siddika Parlak, Ivan Marsic, Aleksandra Sarcevic, Waheed U. Bajwa, Lauren J. Waterhouse, Randall S. Burd:
Passive RFID for Object and Use Detection during Trauma Resuscitation. IEEE Trans. Mob. Comput. 15(4): 924-937 (2016) - [j16]Haroon Raja, Waheed U. Bajwa:
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data. IEEE Trans. Signal Process. 64(1): 173-188 (2016) - [c51]Mohamed Mokhtar, Ridha Hamila, Waheed Uz Zaman Bajwa, Naofal Al-Dhahir:
Deterministic measurement procedures for diagnosis of massive uniform linear antenna arrays. GlobalSIP 2016: 1388-1392 - [c50]Zhixiong Yang, Waheed U. Bajwa:
RD-SVM: A resilient distributed support vector machine. ICASSP 2016: 2444-2448 - [c49]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
Design and analysis framework for sparse FIR channel shortening. ICC 2016: 1-7 - [c48]Zahra Shakeri, Waheed U. Bajwa:
Revisiting maximal response-based local identification of overcomplete dictionaries. SAM 2016: 1-5 - [c47]Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate:
Minimax lower bounds for Kronecker-structured dictionary learning. ISIT 2016: 1148-1152 - [c46]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP 2016: 1-5 - [c45]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers. SPAWC 2016: 1-6 - [i21]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
Design and Analysis Framework for Sparse FIR Channel Shortening. CoRR abs/1603.00160 (2016) - [i20]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR abs/1605.05284 (2016) - [i19]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR abs/1608.02792 (2016) - [i18]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR abs/1612.07857 (2016) - 2015
- [j15]Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu:
MIMO-MC radar: A MIMO radar approach based on matrix completion. IEEE Trans. Aerosp. Electron. Syst. 51(3): 1839-1852 (2015) - [j14]Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression. IEEE Trans. Inf. Theory 61(7): 4060-4079 (2015) - [j13]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Identification of Linear Time-Varying Systems Through Waveform Diversity. IEEE Trans. Signal Process. 63(8): 2070-2084 (2015) - [j12]Tong Wu, Waheed U. Bajwa:
Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms. IEEE Trans. Signal Process. 63(23): 6229-6244 (2015) - [c44]Zahra Shakeri, Waheed U. Bajwa:
Deterministic selection of pilot tones for compressive estimation of MIMO-OFDM channels. CISS 2015: 1-6 - [c43]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
A general framework for the design and analysis of sparse FIR linear equalizers. GlobalSIP 2015: 834-838 - [c42]Tong Wu, Waheed U. Bajwa:
Metric-Constrained Kernel Union of Subspaces. ICASSP 2015: 5778-5782 - [c41]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops 2015: 1053-1061 - [c40]Haroon Raja, Waheed U. Bajwa:
A convergence analysis of distributed dictionary learning based on the K-SVD algorithm. ISIT 2015: 2186-2190 - [c39]Mohamed Mokhtar, Waheed U. Bajwa, Mahmoud Elgenedy, Naofal Al-Dhahir:
Exploiting block sparsity for joint mitigation of asynchronous NBI and IN in hybrid powerline-wireless communications. SmartGridComm 2015: 362-367 - [c38]Mohamed Mokhtar, Waheed U. Bajwa, Naofal Al-Dhahir:
Sparsity-aware joint narrowband interference and impulse noise mitigation for hybrid powerline-wireless transmission. WCNC 2015: 615-620 - [i17]Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir:
A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers. CoRR abs/1511.06971 (2015) - 2014
- [c37]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Efficient linear time-varying system identification using chirp waveforms. ACSSC 2014: 854-858 - [c36]Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. AISTATS 2014: 57-67 - [c35]Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa:
Capacity analysis of a discrete-time bufferless timing channel. CISS 2014: 1-6 - [c34]Talal Ahmed, Waheed U. Bajwa:
Geometrie manifold approximation using union of tangent patches. GlobalSIP 2014: 458-462 - [c33]Zahra Shakeri, Haroon Raja, Waheed U. Bajwa:
Dictionary learning based nonlinear classifier training from distributed data. GlobalSIP 2014: 759-763 - [c32]Tong Wu, Waheed U. Bajwa:
Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models. ICASSP 2014: 3390-3394 - [c31]Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa:
Information in tweets: Analysis of a bufferless timing channel model. ISIT 2014: 826-830 - [c30]Tong Wu, Waheed U. Bajwa:
Subspace detection in a kernel space: The missing data case. SSP 2014: 93-96 - [c29]Talal Ahmed, Waheed U. Bajwa:
A greedy, adaptive approach to learning geometry of nonlinear manifolds. SSP 2014: 133-136 - [i16]Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa:
Bits Through Bufferless Queues. CoRR abs/1401.3580 (2014) - [i15]Waheed U. Bajwa, Dustin G. Mixon:
A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing. CoRR abs/1408.1469 (2014) - [i14]Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu:
MIMO-MC Radar: A MIMO Radar Approach Based on Matrix Completion. CoRR abs/1409.3954 (2014) - [i13]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Identification of Linear Time-Varying Systems Through Waveform Diversity. CoRR abs/1410.3786 (2014) - [i12]Tong Wu, Waheed U. Bajwa:
Learning the nonlinear geometry of high-dimensional data: Models and algorithms. CoRR abs/1412.6808 (2014) - [i11]Haroon Raja, Waheed U. Bajwa:
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data. CoRR abs/1412.7839 (2014) - 2013
- [j11]Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang:
Toward Resource-Optimal Consensus Over the Wireless Medium. IEEE J. Sel. Top. Signal Process. 7(2): 284-295 (2013) - [j10]Kalyani Krishnamurthy, Waheed U. Bajwa, Rebecca Willett:
Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation. SIAM J. Imaging Sci. 6(4): 2047-2074 (2013) - [j9]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
A Constrained Random Demodulator for Sub-Nyquist Sampling. IEEE Trans. Signal Process. 61(3): 707-723 (2013) - [c28]Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa:
Bits through bufferless queues. Allerton 2013: 755-762 - [c27]Haroon Raja, Waheed U. Bajwa:
Cloud K-SVD: Computing data-adaptive representations in the cloud. Allerton 2013: 1474-1481 - [c26]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Resource-efficient parametric recovery of linear time-varying systems. CAMSAP 2013: 200-203 - [c25]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Shaping the power spectra of bipolar sequences with application to sub-Nyquist sampling. CAMSAP 2013: 236-239 - [c24]Matthew S. Nokleby, Waheed U. Bajwa:
Resource tradeoffs in distributed subspace tracking over the wireless medium. GlobalSIP 2013: 823-826 - [c23]Shunqiao Sun, Athina P. Petropulu, Waheed U. Bajwa:
Target estimation in colocated MIMO radar via matrix completion. ICASSP 2013: 4144-4148 - [i10]Shunqiao Sun, Athina P. Petropulu, Waheed U. Bajwa:
Target Estimation in Colocated MIMO Radar via Matrix Completion. CoRR abs/1302.4118 (2013) - [i9]Juhwan Yoo, Yao Xie, Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Finding Zeros: Greedy Detection of Holes. CoRR abs/1303.2048 (2013) - [i8]Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression. CoRR abs/1309.5310 (2013) - 2012
- [j8]Waheed U. Bajwa, Geert Leus, Anna Scaglione, Milica Stojanovic, Zhi Tian:
Special issue on compressive sensing in communications. Phys. Commun. 5(2): 61-63 (2012) - [j7]Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Asynchronous code-division random access using convex optimization. Phys. Commun. 5(2): 129-147 (2012) - [c22]Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang:
Toward resource-optimal averaging consensus over the wireless medium. ACSCC 2012: 1197-1201 - [c21]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Rapid sensing of underutilized, wideband spectrum using the Random Demodulator. ACSCC 2012: 1940-1944 - [c20]Waheed U. Bajwa, Dustin G. Mixon:
Group model selection using marginal correlations: The good, the bad and the Ugly. Allerton Conference 2012: 494-501 - [c19]Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang:
Hierarchical averaging over wireless sensor networks. ICASSP 2012: 3121-3124 - [i7]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Faster than Nyquist but Slower than Tropp et al. CoRR abs/1204.0839 (2012) - [i6]Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang:
Toward Resource-Optimal Consensus over the Wireless Medium. CoRR abs/1208.3251 (2012) - [i5]Waheed U. Bajwa, Dustin G. Mixon:
Group Model Selection Using Marginal Correlations: The Good, the Bad and the Ugly. CoRR abs/1210.2440 (2012) - 2011
- [j6]Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar:
Identification of Parametric Underspread Linear Systems and Super-Resolution Radar. IEEE Trans. Signal Process. 59(6): 2548-2561 (2011) - [c18]Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Stephen D. Howard:
Choir codes: Coding for full duplex interference management. Allerton 2011: 1-8 - [c17]Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang:
Gossiping in groups: Distributed averaging over the wireless medium. Allerton 2011: 1242-1249 - [c16]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Faster than Nyquist, slower than Tropp. CAMSAP 2011: 345-348 - [c15]Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar:
On the identification of parametric underspread linear systems. ICASSP 2011: 4088-4091 - [c14]Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank:
Beating nyquist through correlations: A constrained random demodulator for sampling of sparse bandlimited signals. ICASSP 2011: 5968-5971 - [c13]Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Jarvis D. Haupt, Robert Nowak:
Deterministic pilot sequences for sparse channel estimation in OFDM systems. DSP 2011: 1-7 - [c12]Dustin G. Mixon, Waheed U. Bajwa, A. Robert Calderbank:
Frame coherence and sparse signal processing. ISIT 2011: 663-667 - [i4]Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Asynchronous Code-Division Random Access Using Convex Optimization. CoRR abs/1101.1477 (2011) - 2010
- [j5]Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour:
Why Gabor frames? Two fundamental measures of coherence and their role in model selection. J. Commun. Networks 12(4): 289-307 (2010) - [j4]Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak:
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels. Proc. IEEE 98(6): 1058-1076 (2010) - [j3]Jarvis D. Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, Robert D. Nowak:
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation. IEEE Trans. Inf. Theory 56(11): 5862-5875 (2010) - [c11]Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Multiuser detection in asynchronous on-off random access channels using lasso. Allerton 2010: 130-137 - [c10]Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour:
Revisiting model selection and recovery of sparse signals using one-step thresholding. Allerton 2010: 977-984 - [c9]Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour:
Model selection: Two fundamental measures of coherence and their algorithmic significance. ISIT 2010: 1568-1572 - [i3]Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour:
Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection. CoRR abs/1006.0719 (2010) - [i2]Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar:
Identification of Underspread Linear Systems with Application to Super-Resolution Radar. CoRR abs/1008.0851 (2010)
2000 – 2009
- 2009
- [c8]Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak:
A restricted isometry property for structurally-subsampled unitary matrices. Allerton 2009: 1005-1012 - [i1]Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour:
Why Gabor Frames? Two Fundamental Measures of Coherence and their Geometric Significance. CoRR abs/0911.2746 (2009) - 2008
- [j2]Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak:
Compressed Sensing for Networked Data. IEEE Signal Process. Mag. 25(2): 92-101 (2008) - [c7]Waheed U. Bajwa, Akbar M. Sayeed, Robert D. Nowak:
Compressed sensing of wireless channels in time, frequency, and space. ACSCC 2008: 2048-2052 - [c6]Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak:
Learning sparse doubly-selective channels. Allerton 2008: 575-582 - [c5]Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Gil M. Raz, Robert D. Nowak:
Compressed channel sensing. CISS 2008: 5-10 - 2007
- [j1]Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak:
Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. IEEE Trans. Inf. Theory 53(10): 3629-3653 (2007) - 2006
- [c4]Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak:
A Universal Matched Source-Channel Communication Scheme for Wireless Sensor Ensembles. ICASSP (5) 2006: 1153-1156 - [c3]Waheed Uz Zaman Bajwa, Jarvis D. Haupt, Akbar M. Sayeed, Robert D. Nowak:
Compressive wireless sensing. IPSN 2006: 134-142 - 2005
- [c2]Waheed Uz Zaman Bajwa, Akbar M. Sayeed, Robert D. Nowak:
Matched source-channel communication for field estimation in wireless sensor networks. IPSN 2005: 332-339 - 2002
- [c1]Adeel Abbas, Arslan Ahmed, Affan Ahmed, Waheed Uz Zaman Bajwa, Ahtasham Anwar, Sohail Abbasi:
A retargetable tool-suite for the design of application specific instruction set processors using a machine description language. ISCAS (1) 2002: 425-428
Coauthor Index
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