Study on mode mixing problem of empirical mode decomposition

DOI

10.2991/jimec-16.2016.69How to use a DOI?

Keywords

empirical mode decomposition; mode mixing; intrinsic mode function

Abstract

After defined the basic concept of mode or intrinsic mode, EMD as a data-driven adaptive decomposition method, its purpose is to decompose arbitrary non-stationary and nonlinear signal into different intrinsic mode functions (IMFs) on the time series. However, in some cases, the EMD method often cannot get ideal decomposition results which can result mode mixing problem. once mode mixing phenomenon appear, mode mixing will affect the subsequent decomposition components, the time-frequency distribution of subsequent IMFs are confusion, eventually the EMD decomposition process lose physical meaning. The EMD mode mixing problem directly affect its application in various fields. This paper discuss the basic cause of mode mixing, the results show that: the jumping change of the decomposed signal result in mode mixing, mode mixing caused by amplitude and frequency relationship of the signal.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guimin Xu
AU  - Zhengxiang Yang
AU  - Sha Wang
PY  - 2016/10
DA  - 2016/10
TI  - Study on mode mixing problem of empirical mode decomposition
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 389
EP  - 394
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.69
DO  - 10.2991/jimec-16.2016.69
ID  - Xu2016/10
ER  -