Objective Empirical Mode Decomposition metric

Dawid Laszuk, Oswaldo Cadenas, Slawomir J. Nasuto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Empirical Mode Decomposition (EMD) is a data-driven technique for extraction of oscillatory components from data. Although it has been introduced over 15 years ago, its mathematical foundations are still missing which also implies lack of objective metrics for decomposed set evaluation. Most common technique for assessing results of EMD is their visual inspection, which is very subjective. This article provides objective measures for assessing EMD results based on the original definition of oscillatory components.

Original languageEnglish
Title of host publication2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
EditorsKarol Molnar, Norbert Herencsar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-507
Number of pages4
ISBN (Electronic)9781479984985
DOIs
Publication statusPublished - 9 Oct 2015
Externally publishedYes
Event2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 - Prague, Czech Republic
Duration: 9 Jul 201511 Jul 2015

Publication series

Name2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015

Conference

Conference2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
Country/TerritoryCzech Republic
CityPrague
Period9/07/1511/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Empirical Mode Decomposition
  • Hilbert Transform
  • Hilbert-Huang Transform
  • Intrinsic Mode Function
  • Metric
  • Signal Decomposition

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