168 search results - page 15 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
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 ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
CISS
2010
IEEE
12 years 11 months ago
2010
IEEE
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...