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Waheed U. Bajwa
Waheed U. Bajwa
Professor of Electrical & Computer Engineering and Statistics, Rutgers University
Dirección de correo verificada de rutgers.edu - Página principal
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Compressed channel sensing: A new approach to estimating sparse multipath channels
WU Bajwa, J Haupt, AM Sayeed, R Nowak
Proceedings of the IEEE 98 (6), 1058-1076, 2010
12772010
Compressed sensing for networked data
J Haupt, WU Bajwa, M Rabbat, R Nowak
IEEE Signal Processing Mag. 25 (2), 92-101, 2008
7122008
Toeplitz compressed sensing matrices with applications to sparse channel estimation
J Haupt, WU Bajwa, G Raz, R Nowak
IEEE Trans. Inform. Theory 56 (11), 5862-5875, 2010
5612010
Compressive wireless sensing
WU Bajwa, J Haupt, A Sayeed, R Nowak
Proc. 5th Int. Conf. Information Processing in Sensor Networks (IPSN'06 …, 2006
4752006
Toeplitz-structured compressed sensing matrices
WU Bajwa, JD Haupt, GM Raz, SJ Wright, RD Nowak
Proc. 14th IEEE/SP Workshop Statistical Signal Processing (SSP'07), 294-298, 2007
4382007
Compressed channel sensing
WU Bajwa, J Haupt, G Raz, R Nowak
Proc. 42nd Annu. Conf. Information Sciences and Systems (CISS’08), 5-10, 2008
2872008
Joint source–channel communication for distributed estimation in sensor networks
WU Bajwa, J Haupt, A Sayeed, R Nowak
IEEE Trans. Inform. Theory 53 (10), 3629-3653, 2007
2252007
Identification of parametric underspread linear systems and super-resolution radar
WU Bajwa, K Gedalyahu, Y Eldar
IEEE Trans. Signal Processing 59 (6), 2548-2561, 2011
1632011
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Z Yang, WU Bajwa
IEEE Trans. Signal Inform. Proc. over Netw. 5 (4), 611–627, 2019
1352019
Sparse multipath channels: Modeling and estimation
WU Bajwa, A Sayeed, R Nowak
Proc. 13th IEEE Digital Signal Processing Workshop, 320-325, 2009
1132009
Cloud K-SVD: A collaborative dictionary learning algorithm for big, distributed data
H Raja, WU Bajwa
IEEE Trans. Signal Processing 64 (1), 173-188, 2016
1102016
Why Gabor frames? Two fundamental measures of coherence and their role in model selection
WU Bajwa, R Calderbank, S Jafarpour
J. Commun. Netw. 12 (4), 289-307, 2010
1072010
Learning sparse doubly-selective channels
WU Bajwa, AM Sayeed, R Nowak
Proc. 46th Annu. Allerton Conf. Communication, Control, and Computing, 575-582, 2008
1022008
Adversary-resilient distributed and decentralized statistical inference and machine learning: An overview of recent advances under the Byzantine threat model
Z Yang, A Gang, WU Bajwa
IEEE Signal Processing Mag. 37 (3), 146-159, 2020
95*2020
Asynchronous code-division random access using convex optimization
L Applebaum, WU Bajwa, MF Duarte, R Calderbank
Physical Communication 5 (2), 129-147, 2012
892012
Posterior consistency in linear models under shrinkage priors
A Armagan, DB Dunson, J Lee, WU Bajwa, N Strawn
Biometrika 100 (4), 1011-1018, 2013
882013
BRIDGE: Byzantine-resilient decentralized gradient descent
C Fang, Z Yang, WU Bajwa
IEEE Transactions on Signal and Information Processing over Networks 8, 610-626, 2022
842022
MIMO-MC radar: A MIMO radar approach based on matrix completion
S Sun, WU Bajwa, AP Petropulu
IEEE Trans. Aerosp. Electron. Syst. 51 (3), 1839-1852, 2015
832015
Two are better than one: Fundamental parameters of frame coherence
WU Bajwa, R Calderbank, DG Mixon
Appl. Comput. Harmon. Anal. 33 (1), 58-78, 2012
832012
Matched source-channel communication for field estimation in wireless sensor networks
WU Bajwa, A Sayeed, R Nowak
Proc. 4th Intl. Conf. Information Processing in Sensor Networks (IPSN’05 …, 2005
832005
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20