A VARIANT THE EMD METHOD FOR MULTI-SCALE DATA

被引：33

作者：

Hou, Thomas Y. ^{[1
]}

Yan, Mike P. ^{[1
]}

Wu, Zhaohua ^{[2
,3
]}

机构：

[1] CALTECH, Appl & Computat Math, Pasadena, CA 91125 USA

[2] Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA

[3] Florida State Univ, Dept Meteorol, Tallahassee, FL 32306 USA

来源：

ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS | 2009年 / 1卷 / 04期

基金：

美国国家科学基金会;

关键词：

Empirical Mode Decomposition (EMD); adaptive data analysis; sparse representation;

D O I：

10.1142/S179353690900031X

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we propose a variant of the Empirical Mode Decomposition method to decompose multiscale data into their intrinsic mode functions. Under the assumption that the multiscale data satisfy certain scale separation property, we show that the proposed method can extract the intrinsic mode functions accurately and uniquely.

引用

页码：483 / 516

页数：34

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