Optimal design method of 2-D IIR digital filters based on a simple genetic algorithm

M. Kawamata; J. Imakubo; T. Higuchi

doi:10.1109/ICIP.1994.413421

Optimal design method of 2-D IIR digital filters based on a simple genetic algorithm

M. Kawamata, J. Imakubo, T. Higuchi

ENG - Electronic Engineering

Research output: Contribution to journal › Conference article › peer-review

8 Citations (Scopus)

Abstract

The paper proposes an optimal design method of separable-denominator (SD) two-dimensional digital filters (2DDFs) based on a simple genetic algorithm (SGA) for frequency-domain specifications. Parameters of the transfer function of a SD-2DDF are encoded to bit strings in order to apply a SGA to the design. Stability of a 2DDF is easily checked because of the separability of the denominator of the transfer function. The proposed method has flexibility for change of specifications of 2DDFs, and enables one to use arbitrary error functions. The usefulness of the proposed method is demonstrated by design examples.

Original language	English
Article number	413421
Pages (from-to)	780-784
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	1
DOIs	https://doi.org/10.1109/ICIP.1994.413421
Publication status	Published - 1994 Jan 1
Event	Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA Duration: 1994 Nov 13 → 1994 Nov 16

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.1994.413421

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abstract = "The paper proposes an optimal design method of separable-denominator (SD) two-dimensional digital filters (2DDFs) based on a simple genetic algorithm (SGA) for frequency-domain specifications. Parameters of the transfer function of a SD-2DDF are encoded to bit strings in order to apply a SGA to the design. Stability of a 2DDF is easily checked because of the separability of the denominator of the transfer function. The proposed method has flexibility for change of specifications of 2DDFs, and enables one to use arbitrary error functions. The usefulness of the proposed method is demonstrated by design examples.",

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T1 - Optimal design method of 2-D IIR digital filters based on a simple genetic algorithm

AU - Kawamata, M.

AU - Imakubo, J.

AU - Higuchi, T.

PY - 1994/1/1

Y1 - 1994/1/1

N2 - The paper proposes an optimal design method of separable-denominator (SD) two-dimensional digital filters (2DDFs) based on a simple genetic algorithm (SGA) for frequency-domain specifications. Parameters of the transfer function of a SD-2DDF are encoded to bit strings in order to apply a SGA to the design. Stability of a 2DDF is easily checked because of the separability of the denominator of the transfer function. The proposed method has flexibility for change of specifications of 2DDFs, and enables one to use arbitrary error functions. The usefulness of the proposed method is demonstrated by design examples.

AB - The paper proposes an optimal design method of separable-denominator (SD) two-dimensional digital filters (2DDFs) based on a simple genetic algorithm (SGA) for frequency-domain specifications. Parameters of the transfer function of a SD-2DDF are encoded to bit strings in order to apply a SGA to the design. Stability of a 2DDF is easily checked because of the separability of the denominator of the transfer function. The proposed method has flexibility for change of specifications of 2DDFs, and enables one to use arbitrary error functions. The usefulness of the proposed method is demonstrated by design examples.

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EP - 784

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

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T2 - Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)

Y2 - 13 November 1994 through 16 November 1994

ER -

Optimal design method of 2-D IIR digital filters based on a simple genetic algorithm

Abstract

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