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CLC number: TP391.4

On-line Access: 2011-02-08

Received: 2010-02-25

Revision Accepted: 2010-05-20

Crosschecked: 2010-12-30

Cited: 7

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.2 P.88-95


Centroid-based sifting for empirical mode decomposition

Author(s):  Hong Hong, Xin-long Wang, Zhi-yong Tao, Shuan-ping Du

Affiliation(s):  Key Laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University, Nanjing 210093, China, State Key Laboratory of Ocean Acoustics, Hangzhou Applied Acoustics Research Institute, Hangzhou 310012, China

Corresponding email(s):   hongnju@gmail.com

Key Words:  Sifting, Empirical mode decomposition (EMD), Mode mixing effect, Frequency resolution, Local centroids, Noise resistance

Hong Hong, Xin-long Wang, Zhi-yong Tao, Shuan-ping Du. Centroid-based sifting for empirical mode decomposition[J]. Journal of Zhejiang University Science C, 2011, 12(2): 88-95.

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%A Zhi-yong Tao
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%DOI 10.1631/jzus.C1000037

T1 - Centroid-based sifting for empirical mode decomposition
A1 - Hong Hong
A1 - Xin-long Wang
A1 - Zhi-yong Tao
A1 - Shuan-ping Du
J0 - Journal of Zhejiang University Science C
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Y1 - 2011
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1000037

A novel sifting method based on the concept of the ‘local centroids’ of a signal is developed for empirical mode decomposition (EMD), with the aim of reducing the mode-mixing effect and decomposing those modes whose frequencies are within an octave. Instead of directly averaging the upper and lower envelopes, as suggested by the original EMD method, the proposed technique computes the local mean curve of a signal by interpolating a set of ‘local centroids’, which are integral averages over local segments between successive extrema of the signal. With the ‘centroid’-based sifting, EMD is capable of separating intrinsic modes of oscillatory components with their frequency ratio ν even up to 0.8, thus greatly mitigating the effect of mode mixing and enhancing the frequency resolving power. Inspection is also made to show that the integral property of the ‘centroid’-based sifting can make the decomposition more stable against noise interference.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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