26 search results - page 1 / 6 » Universal Measurement Bounds for Structured Sparse Signal Re... |
JMLR
2012
12 years 1 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
TSP
2010
13 years 5 months ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
DCC
2008
IEEE
14 years 10 months ago
2008
IEEE
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...