168 search results - page 31 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
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...
FOCM
2011
12 years 11 months ago
2011
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
TIP
2010
13 years 2 months 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 11 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 11 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 ...