Empirical mode decomposition frequency resolution improvement using the pre-emphasis and de-emphasis method

Arnab Roy, John F. Doherty

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

7 Scopus citations

Abstract

Empirical mode decomposition (EMD) is a time-frequency analysis technique that has gained popularity in recent times due to its adaptivity and applicability to non-stationary signals. Paired with the Hilbert transform it yields a timefrequency spectrum and is called the Hilbert-Huang transform (HHT). The empirical nature of EMD has resulted in a lack of theoretical analysis so far. Issues regarding its ability to resolve different frequencies have been largely ignored in the past as have been questions regarding optimum choice of some control parameters based on the signal. In this paper we propose a new pre-emphasis/de-emphasis technique to improve the frequency resolving ability of EMD for a particular configuration of tonal signals with unequal amplitudes. The dependence of the frequency resolving ability of this technique on the number of sifting iterations and stopping criterion threshold setting is pointed out.

Original languageEnglish (US)
Title of host publicationCISS 2008, The 42nd Annual Conference on Information Sciences and Systems
Pages453-457
Number of pages5
DOIs
StatePublished - 2008
EventCISS 2008, 42nd Annual Conference on Information Sciences and Systems - Princeton, NJ, United States
Duration: Mar 19 2008Mar 21 2008

Publication series

NameCISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Other

OtherCISS 2008, 42nd Annual Conference on Information Sciences and Systems
Country/TerritoryUnited States
CityPrinceton, NJ
Period3/19/083/21/08

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

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