23 search results - page 2 / 5 » Compressed Sensing: How sharp is the Restricted Isometry Pro... |
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 ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
DCC
2010
IEEE
14 years 4 days ago
2010
IEEE
Inspired by syndrome source coding using linear error-correcting codes, we explore a new form of measurement matrix for compressed sensing. The proposed matrix is constructed in t...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...