Study on mode mixing problem of empirical mode decomposition

被引:0
作者
Xu, Guimin [1 ]
Yang, Zhengxiang [2 ]
Wang, Sha [1 ]
机构
[1] Hubei Univ Technol, Engn & Technol Coll, Wuhan 430068, Peoples R China
[2] Wuhan Tech Coll Commun, Dept Elect & Informat, Wuhan 430065, Peoples R China
来源
PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING | 2016年 / 59卷
关键词
empirical mode decomposition; mode mixing; intrinsic mode function;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:389 / 394
页数:6
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