DocumentCode
2831479
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
fYear
1991
fDate
11-14 Jun 1991
Firstpage
1400
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176634
Filename
176634
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