Title :
Comparative analysis of neural network filters and adaptive Volterra filters
Author :
Krusienski, D.J. ; Jenkins, W.K.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
This paper analyzes the relationship between the traditional adaptive Volterra filter (AVF) and the multilayer perceptron (MLP) neural network filter. These two filter structures are inherently similar in form and function. This relationship is clarified by analyzing the details of both methods within the context of adaptive nonlinear filtering
Keywords :
Volterra series; adaptive filters; circuit simulation; feedforward neural nets; multilayer perceptrons; nonlinear filters; nonlinear network analysis; AVF; MLP neural network filter; adaptive Volterra filters; adaptive nonlinear filtering; filter form; filter function; filter structures; multilayer perceptron neural network filter; neural network filters; Adaptive filters; Adaptive systems; Filtering; Kernel; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Nonlinear filters; Nonlinear systems;
Conference_Titel :
Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-7150-X
DOI :
10.1109/MWSCAS.2001.986112
