Synthesis of low coefficient sensitivity digital filters using Genetic Programming

Kazuyoshi Uesaka, Masayuki Kawamata

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - IEEE International Symposium on Circuits and Systems
出版社IEEE
ページIII-307 - III-310
ISBN(印刷版)0780354710
出版ステータスPublished - 1999 1月 1
イベントProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99 - Orlando, FL, USA
継続期間: 1999 5月 301999 6月 2

出版物シリーズ

名前Proceedings - IEEE International Symposium on Circuits and Systems
3
ISSN(印刷版)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

  • 電子工学および電気工学

フィンガープリント

「Synthesis of low coefficient sensitivity digital filters using Genetic Programming」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル