Multi-domain adaptive filtering by feasibility splitting

Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada

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

3 Scopus citations

Abstract

We propose multi-domain adaptive filtering based on the idea of feasibility splitting - dealing with feasibility in individual domains. The proposed approach provides a useful and mathematically rigorous framework to incorporate multiple pieces of information (expressed in different domains) efficiently. Indeed, it processes such multiple pieces of information by means of the metric projection in each individual domain; this is a significant advantage over existing single-domain approaches. Also we provide a reasonable strategy to treat the case where the available prior information is inconsistent. A convergence analysis and numerical examples are presented to support the proposed method.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages3814-3817
Number of pages4
DOIs
StatePublished - Nov 8 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period3/14/103/19/10

Keywords

  • Convex feasibility problem
  • Metric projection
  • Set-theoretic adaptive filtering
  • Subgradient projection

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