81 search results - page 3 / 17 » Reconstruction of sparse signals from distorted randomized m... |
ICASSP
2008
IEEE
14 years 1 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...
ICIP
2008
IEEE
14 years 1 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
TSP
2010
13 years 2 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...