Evolutionary Synthesis of Digital Filter Structures Using Genetic Programming

Kazuyoshi Uesaka; Masayuki Kawamata

doi:10.1109/TCSII.2003.820240

Evolutionary Synthesis of Digital Filter Structures Using Genetic Programming

Kazuyoshi Uesaka, Masayuki Kawamata

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

This paper presents a synthesis method for infinite-impulse response (IIR) digital filter structures using genetic programming with automatically defined functions (GP-ADF). In the proposed method, digital filter structures are represented as S-expressions with subroutines, which are written directly from the set of difference equations. This paper also shows the condition for the constructing the S-expressions that represent the filter structures without delay-free loops. Numerical examples synthesize two-filter structures: the low-coefficient sensitivity fourth-order filter structure and the low-output roundoff noise second-order filter structure.

Original language	English
Pages (from-to)	977-983
Number of pages	7
Journal	IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume	50
Issue number	12
DOIs	https://doi.org/10.1109/TCSII.2003.820240
Publication status	Published - 2003 Dec
Externally published	Yes

Keywords

Digital filter wordlength effects
Genetic programming
Infinite-impulse response (TIR) digital filters

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

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10.1109/TCSII.2003.820240

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abstract = "This paper presents a synthesis method for infinite-impulse response (IIR) digital filter structures using genetic programming with automatically defined functions (GP-ADF). In the proposed method, digital filter structures are represented as S-expressions with subroutines, which are written directly from the set of difference equations. This paper also shows the condition for the constructing the S-expressions that represent the filter structures without delay-free loops. Numerical examples synthesize two-filter structures: the low-coefficient sensitivity fourth-order filter structure and the low-output roundoff noise second-order filter structure.",

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author = "Kazuyoshi Uesaka and Masayuki Kawamata",

year = "2003",

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volume = "50",

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AB - This paper presents a synthesis method for infinite-impulse response (IIR) digital filter structures using genetic programming with automatically defined functions (GP-ADF). In the proposed method, digital filter structures are represented as S-expressions with subroutines, which are written directly from the set of difference equations. This paper also shows the condition for the constructing the S-expressions that represent the filter structures without delay-free loops. Numerical examples synthesize two-filter structures: the low-coefficient sensitivity fourth-order filter structure and the low-output roundoff noise second-order filter structure.

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KW - Genetic programming

KW - Infinite-impulse response (TIR) digital filters

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Evolutionary Synthesis of Digital Filter Structures Using Genetic Programming

Abstract

Keywords

ASJC Scopus subject areas

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