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
fDate :
1/6/2000 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000139
