Mark A. Davenport

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Michael B. WakinProfessor, Electrical Engineering, Colorado School of MinesVerified email at mines.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstVerified email at ecs.umass.edu
Jason LaskaRice University ECEVerified email at alumni.rice.edu
Kevin F. KellyIEEE Fellow, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Petros BoufounosMitsubishi Electric Research LaboratoriesVerified email at merl.com
Ronald DeVoreProfessor of Matematics, Texas A&M UniversityVerified email at math.tamu.edu
Santhosh KarnikFixed-term Assistant Professor, CMSE, Michigan State UniversityVerified email at msu.edu
Abbas RashidiAssociate Professor, University of UtahVerified email at utah.edu
David V. AndersonGeorgia TechVerified email at gatech.edu
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia TechVerified email at gatech.edu
Chinmay HegdeNew York UniversityVerified email at nyu.edu
Matthew O'ShaughnessyCarnegie Endowment for International PeaceVerified email at ceip.org
Clayton ScottProfessor of Electrical Engineering and Computer Science, University of MichiganVerified email at umich.edu
Dror BaronNorth Carolina State UniversityVerified email at ncsu.edu
Michael G. MooreGeorgia Institute of TechnologyVerified email at gatech.edu
Andrew K. MassiminoGeorgia Institute of TechnologyVerified email at gatech.edu
Gregory CanalThe Johns Hopkins University Applied Physics LaboratoryVerified email at jhuapl.edu
Shriram SarvothamTeslaVerified email at tesla.com
Mary WoottersStanford UniversityVerified email at stanford.edu

Mark A. Davenport

Professor of Electrical & Computer Engineering, Georgia Institute of Technology

Verified email at gatech.edu - Homepage

Signal processing Statistical inference Machine learning


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Single-pixel imaging via compressive sampling MF Duarte, MA Davenport, D Takhar, JN Laska, T Sun, KF Kelly, ... IEEE Signal Processing Magazine 25 (2), 83-91, 2008	4161	2008
A simple proof of the restricted isometry property for random matrices RG Baraniuk, MA Davenport, RA DeVore, MB Wakin Constructive Approximation 28 (3), 253-263, 2008	3096	2008
Signal processing with compressive measurements MA Davenport, PT Boufounos, MB Wakin, RG Baraniuk IEEE Journal of Selected topics in Signal processing 4 (2), 445-460, 2010	778	2010
Introduction to compressed sensing MA Davenport, MF Duarte, YC Eldar, G Kutyniok Compressed Sensing: Theory and Applications, 2011	756	2011
Analysis of orthogonal matching pursuit using the restricted isometry property MA Davenport, MB Wakin IEEE Transactions on Information Theory 56 (9), 4395-4401, 2010	652	2010
An overview of low-rank matrix recovery from incomplete observations MA Davenport, J Romberg IEEE Journal of Selected Topics in Signal Processing 10 (4), 608-622, 2016	460	2016
1-bit matrix completion MA Davenport, Y Plan, E Berg, M Wootters Information and Inference 3 (3), 189-223, 2014	400	2014
The smashed filter for compressive classification and target recognition MA Davenport, MF Duarte, M Wakin, JN Laska, D Takhar, K Kelly, ... Proc. Computational Imaging V at SPIE Electronic Imaging, 2007	339	2007
On the stability and accuracy of least squares approximations A Cohen, MA Davenport, D Leviatan Foundations of Computational Mathematics 13 (5), 819-834, 2013	293	2013
Sparse signal detection from incoherent projections MF Duarte, MA Davenport, MB Wakin, RG Baraniuk Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2006	275	2006
Democracy in action: Quantization, saturation, and compressive sensing JN Laska, PT Boufounos, MA Davenport, RG Baraniuk Applied and Computational Harmonic Analysis 31 (3), 429-443, 2011	272	2011
Method and apparatus for distributed compressed sensing RG Baraniuk, DZ Baron, MF Duarte, S Sarvotham, MB Wakin, ... US Patent 7,271,747, 2007	223	2007
Sparsity and structure in hyperspectral imaging: Sensing, reconstruction, and target detection RM Willett, MF Duarte, MA Davenport, RG Baraniuk IEEE Signal Processing Magazine 31 (1), 116-126, 2014	209	2014
Detection and estimation with compressive measurements MA Davenport, MB Wakin, RG Baraniuk Rice University ECE Technical Report TREE 0610, 2006	205*	2006
The pros and cons of compressive sensing for wideband signal acquisition: Noise folding versus dynamic range MA Davenport, JN Laska, JR Treichler, RG Baraniuk IEEE Transactions on Signal Processing 60 (9), 4628-4642, 2012	199	2012
Exact signal recovery from sparsely corrupted measurements through the pursuit of justice JN Laska, MA Davenport, RG Baraniuk Proc. 43rd Asilomar Conf. on Signals, Systems and Computers, 2009	176	2009
Method and apparatus for on-line compressed sensing RG Baraniuk, DZ Baron, MF Duarte, M Elnozahi, MB Wakin, ... US Patent App. 12/091,340, 2006	164*	2006
On the fundamental limits of adaptive sensing E Arias-Castro, EJ Candès, MA Davenport IEEE Transactions on Information Theory 31 (1), 116-126, 2013	161	2013
An Introduction to Compressive Sensing RG Baraniuk, MA Davenport, MF Duarte, C Hegde Connexions e-textbook, 2011	159	2011
Signal space CoSaMP for sparse recovery with redundant dictionaries MA Davenport, D Needell, MB Wakin IEEE Transactions on Information Theory 59 (10), 6820-6829, 2013	145	2013

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