Exploiting Signal Subspaces to Reduce Mean-Squared Error in Subband Adaptive Filtering

Author

Gunther, Jacob ; Bose, Tamal ; Song, Wang

Author_Institution

Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT

fYear

2005

fDate

Oct. 28 2005-Nov. 1 2005

Firstpage

359

Lastpage

363

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

Keywords

adaptive filters; filtering theory; least mean squares methods; transient response; fullband time delay; impulse response; least-squares estimation problem; minimum mean-squared error reduction; signal subspaces; subband adaptive filtering; subband decimation factor; Adaptive filters; Band pass filters; Computer errors; Delay effects; Filter bank; Frequency; Jacobian matrices; Signal synthesis; State estimation; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

1-4244-0131-3

Type

conf

DOI

10.1109/ACSSC.2005.1599768

Filename

1599768

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3326853