260 search results - page 14 / 52 » Compressed Sensing of Analog Signals |
CORR
2010
Springer
13 years 10 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...
JC
2007
13 years 9 months ago
2007
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
We attempt to quantify the possible gains that can be achieved by examining a rate-distortion competition between a conventional and a compressive sampling solution to data rate r...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...