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CORR
2010
Springer
133views Education» more  CORR 2010»
13 years 7 months ago
Nonuniform Sparse Recovery with Gaussian Matrices
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Ulas Ayaz, Holger Rauhut
CORR
2007
Springer
136views Education» more  CORR 2007»
13 years 7 months ago
Sparsity in time-frequency representations
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...
Götz E. Pfander, Holger Rauhut
CORR
2008
Springer
132views Education» more  CORR 2008»
13 years 7 months ago
Lower Bounds on the Rate-Distortion Function of Individual LDGM Codes
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...
Shrinivas Kudekar, Rüdiger L. Urbanke
ICIP
2010
IEEE
13 years 5 months ago
Complexity-scalable H.264/AVC in an IPP-based video encoder
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...
Tiago A. da Fonseca, Ricardo L. de Queiroz, Debarg...
IGARSS
2009
13 years 5 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
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...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...