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The recently introduced theory of compressive sensing (CS) enables the reconstruction of sparse or compressible signals from a small set of nonadaptive, linear measurements.
Continuous Univariate Distributions, Volume 1
N. Johnson, S. Kotz, and N. Balakrishnan, · 1994
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Constructive Approximation: Advanced Problems
G. Lorentz, M. Golitschek, and Y. Makovoz, · 1996
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“An elementary proof of the Johnson-Lindenstrauss lemma,”
S. Dasgupta and A. Gupta, · 1999
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Harmonic analysis of two problems in signal compression
S. Güntürk, · 2000
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Metric Characterization of Random Variables and Random Processes
V. Buldygin and Y. Kozachenko, · 2000
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“The pros and cons of democracy,”
A. Calderbank and I. Daubechies, · 2002
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“Integration of sensing and processing,”
E. Candès, · 2005
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“Decoding by linear programming,”
E. Candès and T. Tao, · 2005
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“Compressive sampling,”
E. Candès, · 2006
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“Compressed sensing,”
D. Donoho, · 2006
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“Stable signal recovery from incomplete and inaccurate measurements,”
E. Candès, J. Romberg, and T. Tao, · 2006
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“Compressed sensing: A tutorial,”
J. Romberg and M. Wakin, · 2007
Cited alongside, same era.
“A simple proof of the restricted isometry property for random matrices,”
R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin, · 2008
Cited alongside, same era.
“The restricted isometry property and its implications for compressed sensing,”
E. Candès, · 2008
Cited alongside, same era.
“Instance optimal decoding by thresholding in compressed sensing,”
A. Cohen, W. Dahmen, and R. DeVore, · 2008
Cited alongside, same era.
“Restricted isometry properties and nonconvex compressive sensing,”
R. Chartrand and V. Staneva, · 2008
Cited alongside, same era.
“Analysis of Orthogonal Matching Pursuit using the restricted isometry property,”
M. Davenport and M. Wakin, · 2009
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“Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit,”
D. Needell and R. Vershynin, · 2009
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“Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit,”
D. Needell and R. Vershynin, · 2009
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“CoSaMP: Iterative signal recovery from incomplete and inaccurate samples,”
D. Needell and J. Tropp, · 2009
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“Subspace pursuit for compressive sensing signal reconstruction,”
W. Dai and O. Milenkovic, · 2009
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“Iterative hard thresholding for compressive sensing,”
T. Blumensath and M. Davies, · 2009
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“Democracy in action: Quantization, saturation, and compressive sensing,”
J. Laska, P. Boufounos, M. Davenport, and R. Baraniuk, · 2009
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“Instance-optimality in probability with an
R. DeVore, G. Petrova, and P. Wojtaszczyk, · 2009
Cited alongside, same era.
“On recovery of sparse signals via
T. Cai, X. Guangwu, and J. Zhang, · 2009
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“Exact signal recovery from corrupted measurements through the pursuit of justice,”
J. Laska, M. Davenport, and R. Baraniuk, · 2009
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“Compressive domain interference cancellation,”
M. Davenport, P. Boufounos, and R. Baraniuk, · 2009
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“Concentration of measure and sub-gaussian distributions,” 2009,
M. Davenport, · 2009
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