A wavelet-based mode decomposition

被引：0
|
作者：
S. Nicolay
机构：
[1] University of Liège,
来源：
The European Physical Journal B | 2011年 / 80卷
关键词：
Root Mean Square Error; Gaussian White Noise; Empirical Mode Decomposition; Fourier Spectrum; Wavelet Decomposition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：223 / 232
页数：9
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