168 search results - page 7 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we propose a robust iterative hard thresolding (IHT) algorithm for reconstructing sparse signals in the presence of impulsive noise. To address this problem, we use ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
TIT
2010
13 years 2 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...