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 - Asilomar Conference on Signals, Systems and Computers
Pages535-539
Number of pages5
Volume2005
Publication statusPublished - 2005
Externally publishedYes
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Other

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

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Gunther, J., Bose, T., & Song, W. (2005). Filter bank design for minimizing mean-squared estimation error in subband adaptive filtering. In Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2005, pp. 535-539). [1599806]