1 - Représentations temps-fréquence des signaux non stationnaires

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dc.contributor.author FLANDRIN (P.) en_US
dc.date.accessioned 2005-07-22T07:13:34Z
dc.date.available 2005-07-22T07:13:34Z
dc.date.issued 1989 en_US
dc.identifier.citation Traitement du Signal [Trait. Signal], 1989, Vol. 6, N° 2-NS, p. 89-101 en_US
dc.identifier.issn 0765-0019 en_US
dc.identifier.uri http://hdl.handle.net/2042/1694
dc.description Spectral analysis of non-stationary signais calls for specific tools which permit one to describe a rime evolution of frequency characteristics . Such tools, referred to as time frequency representations, can be defined in an objective way when imposing a priori constraints . Within a stochastic and non parametric framework, two main approaches are offered, which either emphasize a doubly orthogonal decomposition, or preserve the usual concept of frequency. After having established the corresponding definitions and emphasized the importance of the Wigner-Ville transform, estimation problems are addressed and a discussion is provided for supporting the usefulness of time frequency representations in processing operations which go beyond a mere description.
dc.description.abstract Etablissement de la transformation de Wigner-Ville, étude des possibilités d'estimation et discussion sur une représentation temps-fréquence pouvant être utilisée pour des opérations de traitement dépassant la seule description en_US
dc.format.extent 52628 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher GRETSI, Saint Martin d'Hères, France en_US
dc.rights http://irevues.inist.fr/utilisation en_US
dc.source Traitement du Signal [Trait. Signal], ISSN 0765-0019, 1989, Vol. 6, N° 2-NS, p. 89-101 en_US
dc.subject.cnrs Analyse spectrale en_US
dc.subject.cnrs Caractéristique fréquentielle en_US
dc.subject.cnrs Traitement signal en_US
dc.subject.cnrs Estimation signal en_US
dc.subject.cnrs Caractéristique temporelle en_US
dc.subject.cnrs Régime transitoire en_US
dc.subject.cnrs Analyse signal en_US
dc.subject.cnrs Fonction Wigner en_US
dc.subject.cnrs Transformation Wigner Ville en_US
dc.title 1 - Représentations temps-fréquence des signaux non stationnaires en_US
dc.title.alternative Time-frequency representations for non-stationary signals en_US
dc.type Article en_US
dc.contributor.affiliation CNRS, lab. traitement signal, Lyon 69288 en_US


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