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

Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, Isao Yamada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication10th International Symposium on Wireless Communication Systems 2013, ISWCS 2013
    PublisherIEEE Computer Society
    Pages190-193
    Number of pages4
    ISBN (Print)9783800735297
    Publication statusPublished - 2013 Jan 1
    Event10th IEEE International Symposium on Wireless Communication Systems 2013, ISWCS 2013 - Ilmenau, Germany
    Duration: 2013 Aug 272013 Aug 30

    Publication series

    NameProceedings of the International Symposium on Wireless Communication Systems
    ISSN (Print)2154-0217
    ISSN (Electronic)2154-0225

    Other

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

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering
    • Communication

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  • Cite this

    Yukawa, M., Tawara, Y., Sasaki, S., & Yamada, I. (2013). A sparsity-based design of regularization parameter for adaptive proximal forward-backward splitting algorithm. In 10th International Symposium on Wireless Communication Systems 2013, ISWCS 2013 (pp. 190-193). (Proceedings of the International Symposium on Wireless Communication Systems). IEEE Computer Society.