Synthesis of low coefficient sensitivity digital filters using Genetic Programming

Kazuyoshi Uesaka, Masayuki Kawamata

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

6 Citations (Scopus)

Abstract

This paper proposes a new approach to the synthesis of low coefficient sensitivity digital filters using Genetic Programming (GP). GP is applied to the synthesis problem by establishing a mapping between the S-expressions and the filter structures. Genetic operators are then applied to the S-expressions in order to change the connections between the elements in the filter structures. The fitness measure that includes the coefficient sensitivity enables the selection operation to choose low sensitivity filter structures. In this paper, two coefficient sensitivity measures are used - the magnitude sensitivity and the relative sensitivity. A numerical example is presented to demonstrate that the sensitivity of the filter structure synthesized by GP is lower than that of other low coefficient sensitivity filter structures proposed so far.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
PagesIII-307 - III-310
ISBN (Print)0780354710
Publication statusPublished - 1999 Jan 1
EventProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99 - Orlando, FL, USA
Duration: 1999 May 301999 Jun 2

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume3
ISSN (Print)0271-4310

Other

OtherProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99
CityOrlando, FL, USA
Period99/5/3099/6/2

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Uesaka, K., & Kawamata, M. (1999). Synthesis of low coefficient sensitivity digital filters using Genetic Programming. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. III-307 - III-310). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 3). IEEE.