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经验模态分解(EMD)中边界处理的新方法
引用本文:杜修力,何立志.经验模态分解(EMD)中边界处理的新方法[J].北京工业大学学报,2009,35(5):626-632.
作者姓名:杜修力  何立志
作者单位:北京工业大学,城市与工程安全减灾省部共建教育部重点实验室,北京,100124;美盛沃利(北京)工程技术有限公司,北京,100016
摘    要:在深入研究和分析希尔伯特-黄变换(HHT)方法的基础上,对信号提出了半周期半对称延拓算法,并以此来处理经验模态分解中存在的边界误差问题.通过信号模拟试验,并与EMD方法的结果作比较,检验了该方法的有效性和精度.

关 键 词:半周期半对称延拓法  希尔伯特-黄变换(HHT)  经验模态分解(EMD)  信号处理  边界同题

A New Method of Processing the Boundary Problem in the Empirical Mode Decomposition(EMD)
DU Xiu-li,HE Li-zhi.A New Method of Processing the Boundary Problem in the Empirical Mode Decomposition(EMD)[J].Journal of Beijing Polytechnic University,2009,35(5):626-632.
Authors:DU Xiu-li  HE Li-zhi
Abstract:Based on deeply studying and analyzing Hilbert-Huang transform(HHT),a so-called semiperiodical -semi-symmetrical method is presented in this paper to deal with the boundary problem resulting in error during the process of the empirical mode decomposition(EMD).It is proved that this method is very valid and has high precision by many experiments of signal simulations and comparison between the results from this method and those from the EMD method.
Keywords:semi-periodical-semi-symmetrical method  Hilbert-Huang transform(HHT)  the empirical mode decomposition(EMD)  signal processing  the boundary problem
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