Presentation 1995/4/21
Influence of convergence parameter of LMS algorithm : Shortning of estimate time using fuzzy control
Kenji Muto, Takashi Okazaki, Hideo Shibayama, Kazuo Shimada,
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Abstract(in English) Little calculation steps and stable convergence are required in case of using a adaptive algorithm for estimation of coefficients of a digital filter. The least-mean-square(LMS) algorithm is applied for the adaptive processing in many algorithms, as the LMS algorithm has small calculation steps. Convergence parameter of the LMS algorithm influences estimating the coefficients of a digital filter for fast and high precision estimation. We proposed a fuzzy control which is applied estimation of convergence parameter, and the fuzzy rule is composed the relation between the convergence parameter and the square error of the adaptive system. As those results, fast calculation time and light precision estimation can be obtained.
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Keyword(in English) fuzzy control / adaptive system / LMS algorithm / convergence parameter
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Committee EA
Conference Date 1995/4/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Influence of convergence parameter of LMS algorithm : Shortning of estimate time using fuzzy control
Sub Title (in English)
Keyword(1) fuzzy control
Keyword(2) adaptive system
Keyword(3) LMS algorithm
Keyword(4) convergence parameter
1st Author's Name Kenji Muto
1st Author's Affiliation Tokyo Metropolitan College of Aeronautical Engineering()
2nd Author's Name Takashi Okazaki
2nd Author's Affiliation Shibaura Institute of Technology
3rd Author's Name Hideo Shibayama
3rd Author's Affiliation Shibaura Institute of Technology
4th Author's Name Kazuo Shimada
4th Author's Affiliation Tokyo Metropolitan College of Aeronautical Engineering
Date 1995/4/21
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Volume (vol) vol.95
Number (no) 11
Page pp.pp.-
#Pages 8
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