610 search results - page 108 / 122 » An Efficient Method for Compressed Sensing |
TSP
2010
13 years 3 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
STOC
2009
ACM
14 years 9 months ago
2009
ACM
Linear programming decoding for low-density parity check codes (and related domains such as compressed sensing) has received increased attention over recent years because of its p...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...