| 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 | 1418 | 2010 |
| Compressed sensing for networked data J Haupt, WU Bajwa, M Rabbat, R Nowak IEEE Signal Processing Mag. 25 (2), 92-101, 2008 | 726 | 2008 |
| 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 | 588 | 2010 |
| Compressive wireless sensing WU Bajwa, J Haupt, A Sayeed, R Nowak Proc. 5th Int. Conf. Information Processing in Sensor Networks (IPSN'06 …, 2006 | 486 | 2006 |
| 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 | 444 | 2007 |
| Compressed channel sensing WU Bajwa, J Haupt, G Raz, R Nowak Proc. 42nd Annu. Conf. Information Sciences and Systems (CISS’08), 5-10, 2008 | 297 | 2008 |
| 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 | 223 | 2007 |
| 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 | 181 | 2019 |
| 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 | 173 | 2011 |
| 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 | 146 | 2022 |
| 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 | 134* | 2020 |
| 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 | 126 | 2016 |
| Sparse multipath channels: Modeling and estimation WU Bajwa, A Sayeed, R Nowak Proc. 13th IEEE Digital Signal Processing Workshop, 320-325, 2009 | 115 | 2009 |
| 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 | 113 | 2010 |
| Learning sparse doubly-selective channels WU Bajwa, AM Sayeed, R Nowak Proc. 46th Annu. Allerton Conf. Communication, Control, and Computing, 575-582, 2008 | 106 | 2008 |
| 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 | 100 | 2015 |
| Posterior consistency in linear models under shrinkage priors A Armagan, DB Dunson, J Lee, WU Bajwa, N Strawn Biometrika 100 (4), 1011-1018, 2013 | 100 | 2013 |
| Asynchronous code-division random access using convex optimization L Applebaum, WU Bajwa, MF Duarte, R Calderbank Physical Communication 5 (2), 129-147, 2012 | 96 | 2012 |
| 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 | 87 | 2012 |
| 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 | 83 | 2005 |
Robert D NowakUW-MadisonVerified email at wisc.edu
