260 search results - page 15 / 52 » Compressed Sensing of Analog Signals |
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
ICASSP
2011
IEEE
13 years 1 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...
ICASSP
2010
IEEE
13 years 10 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
13 years 1 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...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...