TY - GEN
T1 - Exploiting signal subspaces to reduce mean-squared error in subband adaptive filtering
AU - Gunther, Jacob
AU - Bose, Tamal
AU - Wang, Song
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:33847649668
SN - 1424401313
SN - 9781424401314
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 359
EP - 363
BT - Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
T2 - 39th Asilomar Conference on Signals, Systems and Computers
Y2 - 28 October 2005 through 1 November 2005
ER -