163 search results - page 16 / 33 » Explicit constructions for compressed sensing of sparse sign... |
ICASSP
2011
IEEE
14 years 1 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...
CISS
2010
IEEE
14 years 1 months ago
2010
IEEE
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
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ICASSP
2010
IEEE
14 years 8 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...