1582 search results - page 19 / 317 » On sparse signal representations |
IJON
2008
14 years 9 months ago
2008
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
76
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INTERSPEECH
2010
14 years 4 months ago
2010
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
119
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
83
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ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...