DocumentCode
1509648
Title
Delayless subband adaptive filtering using the Hadamard transform
Author
Hirayama, Noriyuki ; Sakai, Hideaki ; Miyagi, Shigeyuki
Author_Institution
Dept. of Appl. Math. & Phys., Kyoto Univ., Japan
Volume
47
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
1731
Lastpage
1734
Abstract
In this correspondence, an analysis of a delayless critically decimated subband adaptive filter structure is presented. In this structure, adaptive weights in each subband are computed by the LMS algorithm and then transformed into those in fullband by the Hadamard transform. It is shown that a stationary point of the proposed algorithm corresponds to the fullband Wiener filter. Some numerical results are also presented to show the performance of this scheme
Keywords
Hadamard transforms; Wiener filters; adaptive filters; least mean squares methods; Hadamard transform; LMS algorithm; adaptive weights; critically decimated subband adaptive filter structure; delayless subband adaptive filtering; fullband Wiener filter; numerical results; performance; stationary point; Acoustic noise; Active noise reduction; Adaptive filters; Convergence; Delay; Filter bank; Frequency; Least squares approximation; Transfer functions; Wiener filter;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.765151
Filename
765151
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