3 search results - page 1 / 1 » Information-theoretic limits on sparse signal recovery: Dens... |
CORR
2008
Springer
13 years 11 months ago
2008
Springer
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
CISS
2011
IEEE
13 years 3 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 ...
CORR
2010
Springer
13 years 11 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...