163 search results - page 8 / 33 » Explicit constructions for compressed sensing of sparse sign... |
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
118
click to vote
TSP
2010
14 years 4 months ago
2010
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
106
click to vote
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
102
click to vote
CORR
2012
Springer
13 years 5 months ago
2012
Springer
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...