Title :
A block LMS algorithm for third-order frequency-domain Volterra filters
Author :
Im, Sungbin ; Powers, Edward J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
3/1/1997 12:00:00 AM
Abstract :
The objective of this paper is to present an adaptive algorithm to identify third-order frequency-domain Volterra filter coefficients, which correspond to the discrete Fourier transform (DFT) of the time-domain Volterra filter coefficients. The approach rests upon the block least mean square (LMS) algorithm based on the overlap-save method.
Keywords :
Volterra series; adaptive filters; adaptive signal processing; convolution; discrete Fourier transforms; filtering theory; frequency-domain analysis; least mean squares methods; DFT; LMS algorithm; adaptive algorithm; block least mean square algorithm; discrete Fourier transform; overlap-save method; third-order frequency-domain Volterra filters; time-domain Volterra filter coefficients; Adaptive algorithm; Adaptive filters; Convolution; Discrete Fourier transforms; Frequency estimation; Least squares approximation; Mean square error methods; Nonlinear filters; Nonlinear systems; Time domain analysis;
Journal_Title :
Signal Processing Letters, IEEE
