Decomposition of non-stationary signals into varying time scales: Some aspects of the EMD and HVD methods

被引：69

作者：

Braun, S. ^{[1
]}

Feldman, M. ^{[1
]}

机构：

[1] Technion Israel Inst Technol, Fac Mech Engn, IL-32000 Haifa, Israel

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2011年 / 25卷 / 07期

关键词：

Hilbert transform; Empirical Mode Decomposition; Hilbert Vibration Decomposition; Frequency resolution; Non-stationary components; EMPIRICAL MODE DECOMPOSITION;

D O I：

10.1016/j.ymssp.2011.04.005

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The Empirical Mode Decomposition has become very popular since its first introduction. Its suitability and expected performance for specific signal processing task is however somewhat open ended. Addressed are basic questions concerning the decomposition of signals according to different time scales, from noise sensitivity to frequency resolution. Comparing it to the recently introduced Hilbert Vibration Decomposition, signals simulating moving mechanical systems are analyzed. It is argued that in spite of signal adaptive properties, a universal fully automatic decomposition is still beyond our capabilities. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2608 / 2630

页数：23

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