LASSOに基づくスパースIIRフィルタの設計

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: 2024/02/01

タイトル(英語): Design of Sparse IIR Filters Based on LASSO

著者名: 岩切　遼（広島大学大学院先進理工系科学研究科），中本　昌由（広島大学大学院先進理工系科学研究科），坂東　幸浩（日本電信電話（株））

著者名(英語): Ryo Iwakiri (Graduate School of Advanced Science and Engineering, Hiroshima University), Masayoshi Nakamoto (Graduate School of Advanced Science and Engineering, Hiroshima University), Yukihiro Bandoh (Nippon Telegraph and Telephone Corporation)

キーワード: IIRフィルタ，スパースフィルタ，LASSO III filters，sparse filter，LASSO

要約(英語): We consider design of sparse IIR filters based on the least absolute shrinkage and selection operator (LASSO) for reducing the computation cost of IIR filters. The design algorithm is summarized as follows. First, we solve a constrained quadratic programming problem where the constraint is the positive realness with maximum pole radius. Next, after fixing the denominator coefficients, we apply the LASSO to the filter design problem so that the numerator coefficients include zero. Finally, we solve a constrained quadratic programming with zero coefficients constraints. Moreover, we confirm the effectiveness of the proposed method by using two design examples.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.2 （2024） 特集：ディジタル信号処理の基礎と応用

本誌掲載ページ: 47-52 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/144/2/144_47/_article/-char/ja/