Mark A. Davenport
Mark A. Davenport
Professor of Electrical & Computer Engineering, Georgia Institute of Technology
Verified email at - Homepage
Cited by
Cited by
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
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
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
Introduction to compressed sensing
MA Davenport, MF Duarte, YC Eldar, G Kutyniok
Compressed Sensing: Theory and Applications, 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
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
1-bit matrix completion
MA Davenport, Y Plan, E Berg, M Wootters
Information and Inference 3 (3), 189-223, 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
On the stability and accuracy of least squares approximations
A Cohen, MA Davenport, D Leviatan
Foundations of Computational Mathematics 13 (5), 819-834, 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
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
Method and apparatus for distributed compressed sensing
RG Baraniuk, DZ Baron, MF Duarte, S Sarvotham, MB Wakin, ...
US Patent 7,271,747, 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
Detection and estimation with compressive measurements
MA Davenport, MB Wakin, RG Baraniuk
Rice University ECE Technical Report TREE 0610, 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
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
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
On the fundamental limits of adaptive sensing
E Arias-Castro, EJ Candès, MA Davenport
IEEE Transactions on Information Theory 31 (1), 116-126, 2013
An Introduction to Compressive Sensing
RG Baraniuk, MA Davenport, MF Duarte, C Hegde
Connexions e-textbook, 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
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