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

M. Kawamata, J. Imakubo, T. Higuchi

Research output: Contribution to journalConference articlepeer-review

7 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 languageEnglish
Article number413421
Pages (from-to)780-784
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
Publication statusPublished - 1994 Jan 1
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: 1994 Nov 131994 Nov 16

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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