DocumentCode
1405470
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
Volume
34
Issue
12
fYear
1998
fDate
6/11/1998 12:00:00 AM
Firstpage
1213
Lastpage
1214
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;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19980877
Filename
702379
Link To Document