71 search results - page 5 / 15 » Sparse Signal Recovery Using Markov Random Fields |
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...