|Table of Contents|

[1] Wei Dongdong, Tang Wencheng,. A method for constraining the end effect of EMDbased on sequential similarity detection and adaptive filter [J]. Journal of Southeast University (English Edition), 2021, (1): 14-21. [doi:10.3969/j.issn.1003-7985.2021.01.003]
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A method for constraining the end effect of EMDbased on sequential similarity detection and adaptive filter()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
Issue:
2021年第1期
Page:
14-21
Research Field:
Mechanical Engineering
Publishing date:
2021-03-20

Info

Title:
A method for constraining the end effect of EMDbased on sequential similarity detection and adaptive filter
Author(s):
Wei Dongdong Tang Wencheng
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Keywords:
empirical mode decomposition(EMD) end effect sequential similarity detection adaptive filter
PACS:
TH17;TH165.3
DOI:
10.3969/j.issn.1003-7985.2021.01.003
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.

References:

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Memo

Memo:
Biographies: Wei Dongdong(1996—), male, graduate; Tang Wencheng(corresponding author), male, doctor, professor, tangwc@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No. 51675100).
Citation: Wei Dongdong, Tang Wencheng. A method for constraining the end effect of EMD based on sequential similarity detection and adaptive filter[J].Journal of Southeast University(English Edition), 2021, 37(1):14-21.DOI:10.3969/j.issn.1003-7985.2021.01.003.
Last Update: 2021-03-20