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

Yannis Kopsinis; Stephen McLaughlin

doi:10.1109/ICASSP.2007.367107

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

Yannis Kopsinis
, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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 language	English
Title of host publication	IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007
Publisher	IEEE
Pages	1397-1400
Number of pages	4
Volume	3
ISBN (Electronic)	1-4244-0728-1
ISBN (Print)	1-4244-0727-3
DOIs	https://doi.org/10.1109/ICASSP.2007.367107
Publication status	Published - 2007
Event	32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
Abbreviated title	ICASSP 2007
City	Honolulu
Period	15/04/07 → 20/04/07

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10.1109/ICASSP.2007.367107

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@inproceedings{daabf92224c44f02bd45646358cc42f9,

title = "Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes",

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.",

author = "Yannis Kopsinis and Stephen McLaughlin",

note = "INSPEC Accession Number: 9484923; 32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007, ICASSP 2007 ; Conference date: 15-04-2007 Through 20-04-2007",

year = "2007",

doi = "10.1109/ICASSP.2007.367107",

language = "English",

isbn = "1-4244-0727-3",

volume = "3",

pages = "1397--1400",

booktitle = "IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007",

publisher = "IEEE",

address = "United States",

}

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

TY - GEN

T1 - Investigation of the empirical mode decomposition based on genetic algorithm optimization schemes

AU - Kopsinis, Yannis

AU - McLaughlin, Stephen

N1 - INSPEC Accession Number: 9484923

PY - 2007

Y1 - 2007

N2 - 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.

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.

U2 - 10.1109/ICASSP.2007.367107

DO - 10.1109/ICASSP.2007.367107

M3 - Conference contribution

SN - 1-4244-0727-3

VL - 3

SP - 1397

EP - 1400

BT - IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007

PB - IEEE

T2 - 32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007

Y2 - 15 April 2007 through 20 April 2007

ER -

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

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