InforLorV4, PascalFrancis, Corpus, bibRecord, 000831

Signal representation and segmentation based on multifractal stationarity

Identifieur interne : 000831 ( PascalFrancis/Corpus ); précédent : 000830; suivant : 000832

Signal representation and segmentation based on multifractal stationarity

Auteurs : Khalid Daoudi ; Jacques Levy Vehel

Source :

Signal processing [ 0165-1684 ] ; 2002.

RBID : Pascal:03-0026721

Descripteurs français

Pascal (Inist)
- Analyse signal, Représentation signal, Segmentation, Système multifractal, Autosimilitude, Signal stationnaire, Transformation ondelette, Analyse spectrale, Algorithme.

English descriptors

KwdEn :
- Algorithm, Multifractal system, Segmentation, Selfsimilarity, Signal analysis, Signal representation, Spectral analysis, Stationary signal, Wavelet transformation.

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A02	`01`			`@0 SPRODR`
A03		`1`		`@0 Signal process.`
A05				`@2 82`
A06				`@2 12`
A08	`01`	`1`	`ENG`	`@1 Signal representation and segmentation based on multifractal stationarity`
A11	`01`	`1`		`@1 DAOUDI (Khalid)`
A11	`02`	`1`		`@1 VEHEL (Jacques Levy)`
A14	`01`			`@1 INRIA-LORIA, B.P. 101 @2 54602 Villers les Nancy @3 FRA @Z 1 aut.`
A14	`02`			`@1 Projet Fractales, INRIA Rocquencourt, B.P. 105 @2 78153 Le Chesnay @3 FRA @Z 2 aut.`
A20				`@1 2015-2024`
A21				`@1 2002`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 18015 @5 354000106559190150`
A44				`@0 0000 @1 © 2003 INIST-CNRS. All rights reserved.`
A45				`@0 8 ref.`
A47	`01`	`1`		`@0 03-0026721`
A60				`@1 P @3 CC`
A61				`@0 A`
A64	`01`	`1`		`@0 Signal processing`
A66	`01`			`@0 NLD`
C01	`01`		`ENG`	`@0 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.`
C02	`01`	`X`		`@0 001D04A04A1`
C03	`01`	`X`	`FRE`	`@0 Analyse signal @5 01`
C03	`01`	`X`	`ENG`	`@0 Signal analysis @5 01`
C03	`01`	`X`	`SPA`	`@0 Análisis de señal @5 01`
C03	`02`	`3`	`FRE`	`@0 Représentation signal @5 02`
C03	`02`	`3`	`ENG`	`@0 Signal representation @5 02`
C03	`03`	`X`	`FRE`	`@0 Segmentation @5 03`
C03	`03`	`X`	`ENG`	`@0 Segmentation @5 03`
C03	`03`	`X`	`SPA`	`@0 Segmentación @5 03`
C03	`04`	`X`	`FRE`	`@0 Système multifractal @5 04`
C03	`04`	`X`	`ENG`	`@0 Multifractal system @5 04`
C03	`04`	`X`	`SPA`	`@0 Sistema multifractal @5 04`
C03	`05`	`X`	`FRE`	`@0 Autosimilitude @5 05`
C03	`05`	`X`	`ENG`	`@0 Selfsimilarity @5 05`
C03	`05`	`X`	`SPA`	`@0 Autosimilitud @5 05`
C03	`06`	`X`	`FRE`	`@0 Signal stationnaire @5 06`
C03	`06`	`X`	`ENG`	`@0 Stationary signal @5 06`
C03	`06`	`X`	`SPA`	`@0 Señal estacionaria @5 06`
C03	`07`	`X`	`FRE`	`@0 Transformation ondelette @5 07`
C03	`07`	`X`	`ENG`	`@0 Wavelet transformation @5 07`
C03	`07`	`X`	`SPA`	`@0 Transformación ondita @5 07`
C03	`08`	`X`	`FRE`	`@0 Analyse spectrale @5 08`
C03	`08`	`X`	`ENG`	`@0 Spectral analysis @5 08`
C03	`08`	`X`	`SPA`	`@0 Análisis espectral @5 08`
C03	`09`	`X`	`FRE`	`@0 Algorithme @5 09`
C03	`09`	`X`	`ENG`	`@0 Algorithm @5 09`
C03	`09`	`X`	`SPA`	`@0 Algoritmo @5 09`
N21				`@1 013`
N82				`@1 PSI`

Format Inist (serveur)

NO :	PASCAL 03-0026721 INIST
ET :	Signal representation and segmentation based on multifractal stationarity
AU :	DAOUDI (Khalid); VEHEL (Jacques Levy)
AF :	INRIA-LORIA, B.P. 101/54602 Villers les Nancy/France (1 aut.); Projet Fractales, INRIA Rocquencourt, B.P. 105/78153 Le Chesnay/France (2 aut.)
DT :	Publication en série; Courte communication, note brève; Niveau analytique
SO :	Signal processing; ISSN 0165-1684; Coden SPRODR; Pays-Bas; Da. 2002; Vol. 82; No. 12; Pp. 2015-2024; Bibl. 8 ref.
LA :	Anglais
EA :	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.
CC :	001D04A04A1
FD :	Analyse signal; Représentation signal; Segmentation; Système multifractal; Autosimilitude; Signal stationnaire; Transformation ondelette; Analyse spectrale; Algorithme
ED :	Signal analysis; Signal representation; Segmentation; Multifractal system; Selfsimilarity; Stationary signal; Wavelet transformation; Spectral analysis; Algorithm
SD :	Análisis de señal; Segmentación; Sistema multifractal; Autosimilitud; Señal estacionaria; Transformación ondita; Análisis espectral; Algoritmo
LO :	INIST-18015.354000106559190150
ID :	03-0026721

Links to Exploration step

Pascal:03-0026721

Le document en format XML

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<ET>Signal representation and segmentation based on multifractal stationarity</ET>
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Signal representation and segmentation based on multifractal stationarity

Signal representation and segmentation based on multifractal stationarity

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri