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.
Forti, M., Liberatore, A., Manetti, S. (1991). On a new class of neural adaptive FIR filters. In Proc. 1991 IEEE International Sympoisum on Circuits and Systems (pp.1400-1403). IEEE [10.1109/ISCAS.1991.176634].
On a new class of neural adaptive FIR filters
Forti M.;
1991-01-01
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.
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https://hdl.handle.net/11365/30274
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