Filter bank design for minimizing mean-squared estimation error in subband adaptive filtering

Jacob Gunther, Tamal Bose, Wang Song

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

Abstract

This paper considers the problem of prototype filter design for subband adaptive filtering applied to system identification. The minimum mean-squared estimation error (MMSE) depends only the subband analysis filter and the response of the unknown system. We use MMSE as a design criterion to select the best analysis filter response. We show how this can be done independently of the unknown system. The connection between a minimizing MSE and a least-squares estimation problem inspires a new adaptive filter structure in which different analysis filters are used in the two branches of the subband adaptive filter.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages535-539
Number of pages5
StatePublished - Dec 1 2005
Externally publishedYes
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005
ISSN (Print)1058-6393

Other

Other39th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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