A sparsity-based design of regularization parameter for adaptive proximal forward-backward splitting algorithm

Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, Isao Yamada

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    In this paper, a novel regularization-parameter design for the adaptive proximal forward-backward splitting algorithm is proposed for sparse system identification. The regularization parameter is controlled adaptively based on sparsity of an estimated unknown system. The regularizer is designed by approximating an p quasi-norm (0 < p < 1) linearly. Numerical examples show that the proposed algorithm is robust to the variation of the system sparsity.

    本文言語English
    ホスト出版物のタイトル10th International Symposium on Wireless Communication Systems 2013, ISWCS 2013
    出版社IEEE Computer Society
    ページ190-193
    ページ数4
    ISBN(印刷版)9783800735297
    出版ステータスPublished - 2013 1 1
    イベント10th IEEE International Symposium on Wireless Communication Systems 2013, ISWCS 2013 - Ilmenau, Germany
    継続期間: 2013 8 272013 8 30

    出版物シリーズ

    名前Proceedings of the International Symposium on Wireless Communication Systems
    ISSN(印刷版)2154-0217
    ISSN(電子版)2154-0225

    Other

    Other10th IEEE International Symposium on Wireless Communication Systems 2013, ISWCS 2013
    国/地域Germany
    CityIlmenau
    Period13/8/2713/8/30

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 電子工学および電気工学
    • 通信

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