Title :
Adaptive filter bank reconstruction using fast multichannel RLS algorithms
Author :
Chang, Dah-chung ; Wu, Wen-Rong
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
6/11/1998 12:00:00 AM
Abstract :
The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this work, an approach is proposed that can formulate subband signal reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity
Keywords :
adaptive filters; filtering theory; interpolation; least squares approximations; signal reconstruction; adaptive filter bank reconstruction; adaptive synthesis filter bank; computational complexity reduction; fast convergence; fast multichannel RLS algorithms; interpolation operations; multichannel filtering problem; recursive least-squares algorithm; subband signal reconstruction; synthesis process;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980877
