488 search results - page 18 / 98 » Blind Compressed Sensing |
126
Voted
CORR
2010
Springer
15 years 3 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...
126
Voted
ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
111
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ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
119
Voted
STOC
2007
ACM
16 years 3 months ago
2007
ACM
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
122
Voted
ICASSP
2009
IEEE
15 years 10 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...