Title :
A parallel architecture for adaptive frequency-domain Volterra filtering
Author :
Shcherbakov, Michael A.
Author_Institution :
State Tech. Univ. of Penza, Russia
Abstract :
A parallel-serial implementation for an adaptive nonlinear Volterra filter, which exploits the symmetric properties of kernels in the frequency domain, is presented. The realization is based on the successive generation of the m-th order frequency domain of the kernel definition in terms of lower order domains. An efficient implementation structure of the frequency-domain adaptive filters is presented using a specific array of identical processor elements. A great degree of modularity and regularity ensures suitability of the proposed architecture for fast implementation using VLSI technologies
Keywords :
VLSI; Volterra series; adaptive filters; adaptive signal processing; convolution; digital filters; frequency-domain analysis; nonlinear filters; parallel architectures; VLSI; adaptive nonlinear Volterra filter; frequency-domain Volterra filter; identical processor elements; kernels; lower order domains; modularity; parallel architecture; parallel-serial implementation; regularity; symmetric properties; Adaptive arrays; Adaptive filters; Adaptive signal processing; Convolution; Filtering; Frequency domain analysis; Kernel; Nonlinear filters; Parallel architectures; Very large scale integration;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555496