An Improved EMD Method & Its Application in Nonstationary Signals Analysis

被引：0
|
作者：
Chen, Jianhui [1 ]
机构：
[1] Wuhan Univ Technol, Sch Transportat, Wuhan, Peoples R China
来源：
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL III | 2010年
关键词：
the improved EMD; Hilbert-Huang transform (HHT); the mode mixing; Nonlinear; non-stationary signals; time frequency joint distribution technology; EMPIRICAL MODE DECOMPOSITION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Empirical mode decomposition (EMD) method based on MIT has exhibited unique advantages such as adaptability and highly efficiency in many nonlinear, nonstationary signals processing applications. It breaks the uncertainty principle limit, but the traditional EMD still has its deficiencies. In this article, we construct a new wavelet which has excellent decomposing-frequency performance and energy concentration, and then an improved EMD method based on this wavelet is presented. Results of numerical simulation show the validity and efficiency of the method proposed in paper are better than traditional one. Furthermore, some foreseeable trends of time-frequency distribution technologies are described.
引用
收藏
页码：135 / 138
页数：4
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