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A wavelet-based mode decomposition

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  • S. Nicolay

Abstract

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. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2011

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  • S. Nicolay, 2011. "A wavelet-based mode decomposition," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 80(2), pages 223-232, March.
    • Handle: RePEc:spr:eurphb:v:80:y:2011:i:2:p:223-232
    DOI: 10.1140/epjb/e2011-10756-3
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