Signal Representation and Segmentation based on Multifractal Stationarity

Khalid Daoudi 1 Jacques Lévy Véhel 2
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present a new scheme for signal representation which is well suited for the study of multifractal features. In particular, our approach, which is based on the use of Weakly Self Affine functions, allows to segment a signal into parts which are ``multifractally homogeneous''. Furthermore, it opens the possibility of estimating non concave multifractal spectra, a valuable improvement for many practical applications such as Internet traffic modeling.
Type de document :
Article dans une revue
Signal Processing, Elsevier, 2002, 82 (12), pp.2015-2024
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https://hal.inria.fr/inria-00100882
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Soumis le : mardi 26 septembre 2006 - 14:52:39
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55

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  • HAL Id : inria-00100882, version 1

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Khalid Daoudi, Jacques Lévy Véhel. Signal Representation and Segmentation based on Multifractal Stationarity. Signal Processing, Elsevier, 2002, 82 (12), pp.2015-2024. 〈inria-00100882〉

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