东南大学学报（英文版）2021，Vol.37Issue(1)：14-21,8.DOI:10.3969/j.issn.1003-7985.2021.01.003
基于序贯相似性检测和自适应滤波的EMD端点效应处理方法
A method for constraining the end effect of EMD based on sequential similarity detection and adaptive filter
摘要
Abstract
Aimed at the problem of the end effect when using empirical mode decomposition(EMD),a method for constraining the end effect of EMD is proposed based on sequential similarity detection and adaptive filter.The method divides the signal into many wavelets,and it changes the initial wavelet length to select the best initial wavelet that has the minimum error and maximum number of matching seed wavelets,and the wavelet slopes are used for pre-matching and secondary matching to speed up the matching speed.Then,folded self-adaptive threshold is used to select multiple seed wavelets,and finally the end waveform is predicted and expanded according to the adaptive filter method.The proposed method is used to analyze the non-stationary nonlinear simulation signal and experimental signal,and it is compared with the mirror extension and RBF extension methods.The orthogonality index and similarity index of the EMD results of the extended signal after the proposed method are better than those of the other methods.The results show that the proposed method can better constrain the end effect,and has certain validity,accuracy and stability in solving the end effect problem.关键词
经验模态分解/端点效应/序贯相似性检测/自适应滤波Key words
empirical mode decomposition(EMD)/end effect/sequential similarity detection/adaptive filter分类
机械制造引用本文复制引用
魏东栋,汤文成..基于序贯相似性检测和自适应滤波的EMD端点效应处理方法[J].东南大学学报（英文版）,2021,37(1):14-21,8.基金项目
The National Natural Science Foundation of China(No.51675100). （No.51675100）
