Improved Ensemble Empirical Mode Decomposition Method and Its Simulation

被引:0
|
作者
Lin, Jinshan [1 ]
机构
[1] Weifang Univ, Sch Mech & Elect Engn, Weifang 261061, Peoples R China
来源
关键词
Ensemble empirical mode decomposition (EEMD); Improved ensemble empirical mode decomposition (IEEMD); mode mixing; signal processing; SPECTRUM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ensemble empirical mode decomposition (EEMD) is a powerful tool for processing signals with intermittency. However, a problem existing in the EEMD method is the absent guide to how much amplitude of the added white noise should be appropriate for the researched signal. To begin with, the problem was investigated using a noiseless simulated signal. Moreover, based on the conclusions obtained in the above step, the improved EEMD (IEEMD) method was proposed to deal with the noisy signals. Then, a noisy simulated signal was used to measure the performance of the IEEMD method. The results showed that the IEEMD method could greatly alleviate the problem concerning the EEMD method. Additionally, the paper indicates that the IEEMD method may be an improvement on the EEMD method.
引用
收藏
页码:109 / 115
页数:7
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