Two product-space formulations for unifying multiple metrics in set-theoretic adaptive filtering

Masahiro Yukawa, Isao Yamada

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we present two novel approaches to the issue of exploiting multiple metrics jointly for efficient adaptive filtering. The key is the introduction of product-space formulation for taking into account multiple metrics in a single Hilbert space. The first approach is based on the Pierra's idea of reformulating the problem of finding a common point of multiple closed convex sets as a problem of finding a common point of two closed convex sets in a product space. The second approach is a slight modification of the first one along the idea of constraint-embedding. An interesting relation between our approaches and the improved proportionate normalized least mean square (IPNLMS) algorithm is provided. The monotone approximation properties of the two algorithms are also presented. A numerical example suggests the efficacy of the presented multi-metric strategy.

本文言語English
ホスト出版物のタイトルConference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
ページ1010-1014
ページ数5
DOI
出版ステータスPublished - 2010 12 1
外部発表はい
イベント44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States
継続期間: 2010 11 72010 11 10

出版物シリーズ

名前Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN(印刷版)1058-6393

Other

Other44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
国/地域United States
CityPacific Grove, CA
Period10/11/710/11/10

ASJC Scopus subject areas

  • 信号処理
  • コンピュータ ネットワークおよび通信

フィンガープリント

「Two product-space formulations for unifying multiple metrics in set-theoretic adaptive filtering」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル