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» Bayesian Compressive Sensing for clustered sparse signals
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PAMI
2011
13 years 2 months ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
ICASSP
2009
IEEE
13 years 11 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
CORR
2008
Springer
178views Education» more  CORR 2008»
13 years 7 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
ICASSP
2011
IEEE
12 years 11 months ago
Compressive power spectral density estimation
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 7 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan