Analysis of Sound Signals with 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 analysis algorithm, that makes it likely to be used far musical applications
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Communication dans un congrès
Proc. IEEE Symp. Time-Freq. and Time-Scale Anal. (TFTS'96), Jun 1996, Paris, France. IEEE, pp.125-128, 1996, 〈10.1109/TFSA.1996.546702〉
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Rémi Gribonval, Emmanuel Bacry, Stéphane Mallat, Philippe Depalle, Xavier Rodet. Analysis of Sound Signals with High Resolution Matching Pursuit. Proc. IEEE Symp. Time-Freq. and Time-Scale Anal. (TFTS'96), Jun 1996, Paris, France. IEEE, pp.125-128, 1996, 〈10.1109/TFSA.1996.546702〉. 〈inria-00576196〉

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