A normalized block LMS algorithm for frequency-domain Volterra filters

被引：2
|
作者：
Im, S
机构：
来源：
PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS | 1997年
关键词：
D O I：
10.1109/HOST.1997.613506
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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 LIMS algorithm estimates frequency-domain second-order Volterra filter coefficients which correspond to the DFT of the time-domain Volterra filter coefficients.
引用
收藏
页码：152 / 156
页数：5
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