A wavelet-based mode decomposition

[en] We propose a wavelet-based method for analyzing non-stationary data. The idea, inspired by the empirical mode decomposition, is to decompose a data set into a ﬁnite number of components, well separated in the time-frequency plane, plus a residue, such that each component has a zero mean and is associated to one frequency only. When applied to climatic data, this method gives interesting results.

Disciplines :

Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others

Author, co-author :

Nicolay, Samuel ; Université de Liège - ULiège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes

Language :

English

Title :

A wavelet-based mode decomposition

Publication date :

09 March 2011

Journal title :

European Physical Journal B -- Condensed Matter

ISSN :

1434-6028

eISSN :

1434-6036

Publisher :

Springer Science & Business Media B.V., New York, United States - New York

Volume :

Pages :

223-232

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 04 April 2011

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Bibliography

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