Extremum mean empirical mode decomposition
Pan J.1; Tang Y.2
Source Publication2012 5th International Congress on Image and Signal Processing, CISP 2012
AbstractEmpirical mode decomposition (EMD) is a data driven processing algorithm, which applies no predetermined filter. It is able to perfectly analyze the nonlinear and nonstationary signals. In EMD decomposition processing, the envelopes are computed by spline interpolation, which is time-consuming. In this work, based on the straight line method, we proposed using the extrema points to improve the interpolation result, which is Extrema Mean Empirical Mode Decomposition (EMEMD). The EMEMD approach can decompose the IMFs fast and more meaningful. The IMFs of EMEMD detect clearer and more time-frequency information than EMD. © 2012 IEEE.
KeywordEMD fast algorithm time-frequency analysis
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Hong Kong Baptist University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Pan J.,Tang Y.. Extremum mean empirical mode decomposition[C],2012:1556-1561.
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