Parameter-free GAを用いたCSD係数FIRフィルタの設計効率向上

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2021/11/01

タイトル(英語): A Capability Improvement for Design of CSD Coefficient FIR Filters Using Parameter-free GA

著者名: 武川　元洋（東京電機大学工学部電気電子工学科），加藤　涼太（東京電機大学工学部電気電子工学科），陶山　健仁（東京電機大学工学部電気電子工学科）

著者名(英語): Motohiro Takekawa (Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University), Ryota Kato (Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Denki University), Kenji Suyama (Departme

キーワード: ディジタルフィルタ，FIRフィルタ，メタヒューリスティックス，遺伝的アルゴリズム　　digital filter，FIR filter，meta-heuristics，genetic algorithm

要約(英語): In this paper, a design method of CSD (Canonic Signed Digit) coefficient FIR (Finite Impulse Response) filters using parameter-free genetic algorithm (PfGA) is proposed. In GA (Genetic Algorithm), we have a large amounts of difficulties for settings many parameters involved in the GA before the design. Such a task often forces excessive effort to the filter designers. In addiion, the general GA requires many individuals for increasing the diversification ability of search. This fact causes a large amounts of computational time for design. In order to overcome those difficulties, PfGA was proposed, in which any GA parameters are not needed to set in advance. As a result, the task for the parameter verification is not required. However, a detail effectiveness of this strategy for CSD coefficient FIR filter design problem which has a complex structure is not known. In this paper, several design examples are shown to present the practical effectiveness. The outcomes of this paper may give a good opportunity to free a lots of difficulties from the filter designers.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.141 No.11 （2021） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1158-1164 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/141/11/141_1158/_article/-char/ja/