6 search results - page 1 / 2 » Sensing Matrix Optimization for Block-Sparse Decoding |
79
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
69
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
106
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CORR
2011
Springer
14 years 5 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...