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
Link To Document :
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