Raised cosine interpolation for empirical mode decomposition

Arnab Roy, John F. Doherty

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

2 Scopus citations

Abstract

A raised cosine filter based interpolation for the empirical mode decomposition (EMD) technique is presented in this paper as an alternative to the cubic spline interpolation used in the original implementation. By adjusting a parameter in the proposed technique one can control the quality of decomposition of the algorithm. This results in superior performance compared to the original approach which could either mean faster convergence or lower final error under different conditions. An efficient fast Fourier transform (FFT) based implementation of the proposed technique is presented. Further, an adaptive version of this algorithm is introduced that blindly adjusts the parameter value to ensure efficient signal decomposition for any combination of component frequencies of a two-tone signal.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages888-892
Number of pages5
DOIs
StatePublished - Oct 12 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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