Evolutionary digital filtering based on the cloning and mating reproduction

Masahide Abe, Masayuki Kawamata, Tatsuo Higuchi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This letter proposes evolutionary digital filters (EDFs) as new adaptive digital filters. The EDF is an adaptive filter which is controlled by adaptive algorithm based on the evolutionary strategies of living things. It consists of many linear/time-variant inner digital filters which correspond to individuals. The adaptive algorithm of the EDF controls and changes the coefficients of inner filters using the cloning method (the asexual reproduction method) or the mating method (the sexual reproduction method). Thus, the search algorithm of the EDF is a non-gradient and multi-point search algorithm. Numerical examples are given to show the effectiveness and features of the EDF such that they are not susceptible to local minimum in the multiple-peak performance surface.

Original languageEnglish
Pages (from-to)370-373
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE79-A
Issue number3
Publication statusPublished - 1996 Jan 1

Keywords

  • Adaptive digital filter
  • Evolution strategies
  • Multi-point search
  • Non-gradient search
  • System identification

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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