Sound Signals Decomposition Using a High Resolution Matching Pursuit

Abstract : Sound recordings include transients and sustained parts. Their analysis with a basis expansion is not rich enough to represent efficiently all such components. Pursuit algorithms choose the decomposition vectors depending upon the signal properties. The dictionary among which these vectors are selected is much larger than a basis. Matching Pursuit is fast to compute, but can provide coarse representations. Basis Pursuit gives a better representation but is very expensive in terms of calculation time. This paper develops a High Resolution Matching Pursuit : it is a fast, high time-resolution, time-frequency anal;ysis algorithm, that makes it likely to be used for musical applications.
Type de document :
Communication dans un congrès
Proc. Int. Computer Music Conf. (ICMC'96), Aug 1996, Hong-Kong, Hong Kong SAR China. pp.293-296, 1996
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https://hal.inria.fr/inria-00576655
Contributeur : Rémi Gribonval <>
Soumis le : mardi 15 mars 2011 - 10:00:15
Dernière modification le : jeudi 12 avril 2018 - 01:48:35

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  • HAL Id : inria-00576655, version 1

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Rémi Gribonval, Philippe Depalle, Xavier Rodet, Emmanuel Bacry, Stéphane Mallat. Sound Signals Decomposition Using a High Resolution Matching Pursuit. Proc. Int. Computer Music Conf. (ICMC'96), Aug 1996, Hong-Kong, Hong Kong SAR China. pp.293-296, 1996. 〈inria-00576655〉

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