DocumentCode
1316996
Title
Adaptive Volterra filtering using M-band wavelet transform
Author
Kim, R.W. ; Lee, Y.M. ; Nam, S.W.
Author_Institution
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
Volume
36
Issue
1
fYear
2000
fDate
1/6/2000 12:00:00 AM
Firstpage
94
Lastpage
96
Abstract
A new LMS adaptive Volterra filtering scheme based on M-band discrete wavelet transformation (MDWT) is presented, where MDWT is employed along with power normalisation to decorrelate the Volterra input vector. In particular, the preprocessing procedure for the input vector decorrelation effectively reduces the eigenvalue spread of the input vector autocorrelation matrix. This improves the convergence rate of the adaptation process even in the case of wide classes of input signals
Keywords
Volterra series; adaptive filters; decorrelation; digital filters; discrete wavelet transforms; eigenvalues and eigenfunctions; least mean squares methods; wavelet transforms; LMS; M-band wavelet transform; MDWT; Volterra input vector; adaptive Volterra filtering; convergence rate; discrete wavelet transformation; eigenvalue spread; input signal classes; input vector decorrelation; power normalisation; preprocessing procedure;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000139
Filename
830544
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