Title :
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
fDate :
Oct. 28 2005-Nov. 1 2005
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;
Conference_Titel :
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0131-3
DOI :
10.1109/ACSSC.2005.1599768
