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CORR
2010
Springer
133views Education» more  CORR 2010»
14 years 12 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
2008
Springer
132views Education» more  CORR 2008»
14 years 11 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
14 years 9 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
14 years 9 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...
INTERSPEECH
2010
14 years 6 months ago
Artificial and online acquired noise dictionaries for noise robust ASR
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
Jort F. Gemmeke, Tuomas Virtanen