Presentation 2002/8/28
A Study of Quantizing Filter Coefficients with a GA and an SA
Daiki MATSUURA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) This paper presents efficient quantization method for coefficients using a GA and an SA. When digital filters are realized, their coefficients need to be quantized, so that computational circuits and registers are constructed with limited word length. Therefore the characteristic of the digital filter which is actually realized and used is different from its characteristic theoretically obtained. In order to improve such a decayed characteristic, the method with a GA and an SA has been proposed. In this paper, we improve the design of GA and SA and thereby the filter coefficients which give smaller decay can be obtained. Several experiments show the efficiency of our proposed method. Furthermore, the other experiment indicates that the proposed method is independent of types of filters and quantization intervals of coefficients.
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Keyword(in English) Genetic Algorithm / Simulated Annealing / quantization
Paper # NLP2002-54
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Committee NLP
Conference Date 2002/8/28(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Quantizing Filter Coefficients with a GA and an SA
Sub Title (in English)
Keyword(1) Genetic Algorithm
Keyword(2) Simulated Annealing
Keyword(3) quantization
1st Author's Name Daiki MATSUURA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2002/8/28
Paper # NLP2002-54
Volume (vol) vol.102
Number (no) 298
Page pp.pp.-
#Pages 6
Date of Issue