Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes

Yannis Kopsinis, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Empirical mode decomposition (EMD) has lately received much attention due to the many interesting features that exhibits. However it lacks a strong theoretical basis which would allow a performance analysis and hence the enhancement and optimization of the method in a systematic way. In this paper, an investigation of EMD is attempted in an alternative way: The interpolation points and the piecewise interpolating polynomials for the formation of the upper and lower envelopes of the signal are optimized based on a genetic algorithm framework revealing important characteristics of the method which where previously hidden. As a result, novel directions for both the performance enhancement and the theoretical investigation of the method are unveiling.

Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech, and Signal Processing, 2007
PublisherIEEE
Pages1397-1400
Number of pages4
Volume3
ISBN (Electronic)1-4244-0728-1
ISBN (Print)1-4244-0727-3
DOIs
Publication statusPublished - 2007
Event32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu
Duration: 15 Apr 200720 Apr 2007

Conference

Conference32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
Abbreviated titleICASSP 2007
CityHonolulu
Period15/04/0720/04/07

Cite this

Kopsinis, Y., & McLaughlin, S. (2007). Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007 (Vol. 3, pp. 1397-1400). IEEE. https://doi.org/10.1109/ICASSP.2007.367107
Kopsinis, Yannis ; McLaughlin, Stephen. / Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. Vol. 3 IEEE, 2007. pp. 1397-1400
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Kopsinis, Y & McLaughlin, S 2007, Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes. in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. vol. 3, IEEE, pp. 1397-1400, 32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007, Honolulu, 15/04/07. https://doi.org/10.1109/ICASSP.2007.367107

Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes. / Kopsinis, Yannis; McLaughlin, Stephen.

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. Vol. 3 IEEE, 2007. p. 1397-1400.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Empirical mode decomposition (EMD) has lately received much attention due to the many interesting features that exhibits. However it lacks a strong theoretical basis which would allow a performance analysis and hence the enhancement and optimization of the method in a systematic way. In this paper, an investigation of EMD is attempted in an alternative way: The interpolation points and the piecewise interpolating polynomials for the formation of the upper and lower envelopes of the signal are optimized based on a genetic algorithm framework revealing important characteristics of the method which where previously hidden. As a result, novel directions for both the performance enhancement and the theoretical investigation of the method are unveiling.

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Kopsinis Y, McLaughlin S. Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. Vol. 3. IEEE. 2007. p. 1397-1400 https://doi.org/10.1109/ICASSP.2007.367107