Synthesis of low-sensitivity second-order digital filters using genetic programming with automatically defined functions

Kazuyoshi Uesaka, Masayuki Kawamata

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

This letter proposes a synthesis method for low coefficient sensitivity second-order IIR digital filter structures using Genetic Programming with Automatically Defined Functions (GP-ADF). In this letter, digital filter structures are represented as S-expressions with subroutines. It is easy to generate syntactically valid S-expressions and perform the genetic operations, because the representation is suitable for GP. A numerical example uses the fitness measure, including the magnitude sensitivity, and demonstrates that the proposed method can synthesize efficiently very low coefficient sensitivity filter structures.

Original languageEnglish
Pages (from-to)83-85
Number of pages3
JournalIEEE Signal Processing Letters
Volume7
Issue number4
DOIs
Publication statusPublished - 2000 Apr

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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