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