1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97) A Normalized Block LMS Algorithm for Frequency-Domain Volterra Filters Banff, CANADA July 21-July 23 ISBN: 0-8186-8005-9
The objective of the paper is to introduce a new adaptive filtering algorithm for estimating frequency-domain second-order Volterra filter coefficients. The approach rests upon the normalized LMS (NLMS) algorithm and the frequency-domain block LMS algorithm. The utilization of the normalized LMS algorithm facilitates choice of a proper step size, with which the adaptive frequency-domain Volterra filter is guaranteed to be convergent in the mean-squared sense, and improves convergence rate. The frequency-domain block LMS algorithm estimates frequency-domain second-order Volterra filter coefficients which correspond to the DFT of the time-domain Volterra filter coefficients.
Citation:
Sungbin Im, "A Normalized Block LMS Algorithm for Frequency-Domain Volterra Filters," spwhos, pp.0152, 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97), 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||