Title :
On a new class of neural adaptive FIR filters
Author :
Forti, M. ; Liberatore, A. ; Manetti, S.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Abstract :
Basic aspects of a recently introduced class of neural networks for adaptive FIR filtering are analyzed. The main quantities characterizing the transient motion, such as setting time and errors of computation, are analytically evaluated. In addition, an interpretation is given of the adaptive neural filter computation in terms of both correlation functions and a continuous-time gradient-search technique applied on the least squares error surface
Keywords :
adaptive filters; digital filters; least squares approximations; neural nets; continuous-time gradient-search technique; correlation functions; least squares error surface; neural adaptive FIR filters; neural networks; setting time; transient motion; Adaptive control; Adaptive filters; Adaptive systems; Circuits; Cost function; Filtering; Finite impulse response filter; Least squares methods; Motion analysis; Sampling methods;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176634
