Two-channel quadrature mirror bank filter design using a Fitness- Adaptive Differential Evolution algorithm

Arnob Ghosh, Ritwik Giri, Aritra Chowdhury, Swagatam Das, Ajith Abraham

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

9 Scopus citations

Abstract

In this article, a modification of Differential Evolution (DE), Fitness-Adaptive Differential Evolution (FiADE) is used to design the quadrature mirror filter (QMF) banks with linear phase in frequency domain. The three main attributes used in assessing the performance of filter are reconstruction error, mean square error in pass band and mean square error in stop band. The proposed method produces better result than the result obtained by Particle Swarm Optimization (PSO). As compared to the existing methods this method is very simple to implement for the QMF bank optimization. To implement the proposed DE algorithm, a MATLAB program is developed and three examples have been presented to illustrate the performance of the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
PublisherIEEE Computer Society
Pages634-641
Number of pages8
ISBN (Print)9781424473762
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

NameProceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Keywords

  • Differential Evolution
  • Genetic algorithms
  • Quadrature mirror filters
  • Signal processing
  • Subband coding

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