172 search results - page 5 / 35 » Support Recovery of Sparse Signals |
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
NIPS
2008
13 years 11 months ago
2008
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
DCC
2008
IEEE
14 years 9 months ago
2008
IEEE
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
TSP
2010
13 years 4 months ago
2010
Abstract--In this paper, we present a concise and coherent analysis of the constrained `1 minimization method for stable recovering of high-dimensional sparse signals both in the n...
TSP
2010
13 years 4 months ago
2010
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...