Title :
Nonlinear adaptive digital filters using parallel neural networks
Author :
Cao, Jianting ; Yahagi, Takashi
Author_Institution :
Dept. of Inf. & Comput. Sci., Chiba Univ., Japan
Abstract :
Presents a design method for nonlinear adaptive digital filters using parallel neural networks. A linear adaptive digital filter can be replaced by a nonlinear adaptive digital filter with the advantage of obtaining better accuracy of estimation for nonlinear systems. Furthermore, the nonlinear adaptive digital filter is extended to parallel nonlinear adaptive digital filters which reduce the computations of each filtering system, especially when a high-order nonlinear adaptive digital filter is necessary
Keywords :
adaptive filters; digital filters; discrete systems; neural nets; nonlinear dynamical systems; nonlinear filters; parameter estimation; accuracy of estimation; linear adaptive digital filter; nonlinear adaptive digital filters; parallel neural networks; Adaptive filters; Adaptive systems; Computer networks; Concurrent computing; Design engineering; Design methodology; Digital filters; Filtering; Neural networks; Nonlinear systems;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487529
