12 search results - page 1 / 3 » Exploiting Statistical Dependencies in Sparse Representation... |
CORR
2010
Springer
13 years 4 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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
JMLR
2012
11 years 7 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
ISCAS
1999
IEEE
13 years 9 months ago
1999
IEEE
The paper describes a framework in the form of an optimization of a performance index subject to the constraints of a dynamic network, represented in the state space. The performa...