150 search results - page 29 / 30 » Compressive sensing for sparsely excited speech signals |
CVPR
2010
IEEE
14 years 1 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 ...
TIP
2010
13 years 1 days ago
2010
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
CISS
2011
IEEE
12 years 9 months ago
2011
IEEE
—Signals of interests can often be thought to come from a low dimensional signal model. The exploitation of this fact has led to many recent interesting advances in signal proces...
CISS
2011
IEEE
12 years 9 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
CORR
2010
Springer
13 years 9 days ago
2010
Springer
The problem of reliable communication over unknown frequency-selective block-fading channels with sparse impulse responses is considered. In particular, discrete-time impulse respo...