495 search results - page 73 / 99 » Model-Based Compressive Sensing |
119
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
124
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CORR
2007
Springer
15 years 2 months ago
2007
Springer
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
125
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Abstract-- We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function wh...
110
Voted
ICIP
2010
IEEE
15 years 22 days ago
2010
IEEE
Real-time high-definition video encoding is a computationhungry task that challenges software-based solutions. For that, in this work we adopted an Intel software implementation o...
141
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IGARSS
2009
15 years 14 days ago
2009
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...