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

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ASJC Scopus subject areas

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

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.