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

Kazuyoshi Uesaka; Masayuki Kawamata

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

Kazuyoshi Uesaka, Masayuki Kawamata

ENG - Electronic Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	1
Publication status	Published - 2000 Jan 1
Event	Proceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz Duration: 2000 May 28 → 2000 May 31

ASJC Scopus subject areas

Electrical and Electronic Engineering

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

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.",

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year = "2000",

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AU - Uesaka, Kazuyoshi

AU - Kawamata, Masayuki

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N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:0033685473

VL - 1

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

SN - 0271-4310

T2 - Proceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems

Y2 - 28 May 2000 through 31 May 2000

ER -

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

Abstract

ASJC Scopus subject areas

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