Waheed U. Bajwa

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	Wszystkie	Od 2020
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Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceZweryfikowany adres z wisc.edu
Jarvis HauptAssociate Professor of Electrical and Computer Engineering, University of MinnesotaZweryfikowany adres z umn.edu
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke UniversityZweryfikowany adres z duke.edu
Anand SarwateAssociate Professor, Rutgers UniversityZweryfikowany adres z rutgers.edu
Michael RabbatResearch Scientist at FacebookZweryfikowany adres z fb.com
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstZweryfikowany adres z ecs.umass.edu
Mark PierceRutgers, The State University of New JerseyZweryfikowany adres z rutgers.edu
Narayan B. MandayamDistinguished Professor of Electrical and Computer EngineeringZweryfikowany adres z winlab.rutgers.edu
Yonina EldarMath and Computer Science, WeizmannZweryfikowany adres z weizmann.ac.il
Matthew NoklebyML for Perception | CruiseZweryfikowany adres z getcruise.com
Ridha HamilaProfessor, Electrical Engineering Dept, Qatar UniversityZweryfikowany adres z qu.edu.qa
Dustin G. MixonAssociate Professor, Department of Mathematics, The Ohio State UniversityZweryfikowany adres z osu.edu
Athina PetropuluECE RutgersZweryfikowany adres z rutgers.edu
Chung-Tse Michael WuAssociate Professor at Rutgers UniversityZweryfikowany adres z rutgers.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinZweryfikowany adres z cs.wisc.edu
Behnaam AazhangJ.S. Abercrombie Professor in Electrical and Computer Engineering, Rice UniversityZweryfikowany adres z rice.edu
Mert GürbüzbalabanRutgers UniversityZweryfikowany adres z business.rutgers.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsZweryfikowany adres z duke.edu
Christopher TunnellAssociate Professor of Physics, Astronomy, Computer Science, Rice UniversityZweryfikowany adres z rice.edu
Roy YatesProfessor of Electrical and Computer Engineering, Rutgers UniversityZweryfikowany adres z rutgers.edu

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Waheed U. Bajwa

Professor of Electrical & Computer Engineering and Statistics, Rutgers University

Zweryfikowany adres z rutgers.edu - Strona główna

Statistical signal processing high-dimensional statistics machine learning inverse problems networked systems


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1364	2010
Compressed sensing for networked data J Haupt, WU Bajwa, M Rabbat, R Nowak IEEE Signal Processing Mag. 25 (2), 92-101, 2008	720	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	574	2010
Compressive wireless sensing WU Bajwa, J Haupt, A Sayeed, R Nowak Proc. 5th Int. Conf. Information Processing in Sensor Networks (IPSN'06 …, 2006	482	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	439	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	289	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	225	2007
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	169	2011
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	156	2019
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	120	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
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	111	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	111*	2020
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	110	2010
Learning sparse doubly-selective channels WU Bajwa, AM Sayeed, R Nowak Proc. 46th Annu. Allerton Conf. Communication, Control, and Computing, 575-582, 2008	105	2008
Asynchronous code-division random access using convex optimization L Applebaum, WU Bajwa, MF Duarte, R Calderbank Physical Communication 5 (2), 129-147, 2012	93	2012
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	92	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	92	2013
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	86	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

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