Synthesis of low-sensitivity second-order digital filters using Genetic Programming with Automatically Defined Functions

Kazuyoshi Uesaka, Masayuki Kawamata

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper 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 paper, 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. In a numerical example, we use the fitness measure including the magnitude sensitivity, and demonstrate that the proposed method can synthesize efficiently very low coefficient sensitivity filter structures.

Original languageEnglish
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
Publication statusPublished - 2000 Jan 1
EventProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz
Duration: 2000 May 282000 May 31

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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