168 search results - page 30 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
CORR
2008
Springer
13 years 7 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...
SIAMIS
2011
13 years 2 months ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Future progress in neuroscience hinges on reconstruction of neuronal circuits to the level of individual synapses. Because of the specifics of neuronal architecture, imaging must ...