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» Support Recovery of Sparse Signals
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ICASSP
2011
IEEE
14 years 1 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce
CORR
2010
Springer
128views Education» more  CORR 2010»
14 years 9 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 9 months ago
Compressed Sensing with Coherent and Redundant Dictionaries
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or ...
Emmanuel J. Candès, Yonina C. Eldar, Deanna...
ICASSP
2009
IEEE
15 years 4 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
CISS
2010
IEEE
14 years 1 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter