Exploiting signal subspaces to reduce mean-squared error in subband adaptive filtering

Jacob Gunther, Tamal Bose, Song Wang

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

1 Scopus citations

Abstract

This paper shows that the lowest mean-squared error achievable in a subband adaptive filter depends on the error in a least-squares estimation problem involving the impulse response of the subband analysis filter. This connection is exploited to study the effect upon minimum mean-squared error of varying subband adaptive filter length, fullband time delay, and the subband decimation factor.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages359-363
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
CountryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Exploiting signal subspaces to reduce mean-squared error in subband adaptive filtering'. Together they form a unique fingerprint.

  • Cite this

    Gunther, J., Bose, T., & Wang, S. (2005). Exploiting signal subspaces to reduce mean-squared error in subband adaptive filtering. In Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers (pp. 359-363). [1599768] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).