DocumentCode
2251159
Title
A new method for mitigation of end effect in empirical mode decomposition
Author
Qingjie, Zhang ; Huayong, Zhu ; Lincheng, Shen
Author_Institution
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
400
Lastpage
403
Abstract
Empirical mode decomposition(EMD) is a time-frequency analysis method for non-stationary and nonlinear signal. In the iteration process of EMD, at least one data point outside each end is required to build the spline. However, the extending data points which are not chosen properly will cause vibration and distortion phenomenon in EMD. In order to mitigate that end effect, a novel extrema points extending method is proposed: End mirror extending is used in high frequency, while least square polynomial extending is used in low frequency. Numerical result proves that the proposed method can mitigate the end effect in EMD effectively with minor decomposition error.
Keywords
Hilbert transforms; iterative methods; least squares approximations; polynomial approximation; signal processing; splines (mathematics); time-frequency analysis; distortion phenomenon; empirical mode decomposition; end effect mitigation; end mirror; extreme points extending method; iteration process; least square polynomial extending; nonlinear signal; nonstationary signal; spline; time-frequency analysis; vibration phenomenon; Asia; Frequency conversion; Informatics; Least squares methods; Mirrors; Nonlinear distortion; Polynomials; Robotics and automation; Signal processing; Spline; empirical mode decomposition; end effect; least square polynomial; mirror extend;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456814
Filename
5456814
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