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Analysis of gradient-based adaptation algorithms for linear and nonlinear recursive filters

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3 Author(s)
C. Vignat ; Lab. des Signaux et Systemes, Gif-sur-Yvette, France ; C. Uhl ; S. Marcos

The problem of adapting linear and nonlinear recursive filters through a gradient-based optimization procedure is considered. The rigorous application of this technique implies a time-growing computation load. Recently, a method for estimating the weight updates was introduced, leading to a new class of algorithms. The convergence properties of these algorithms, when applied to a linear and then a nonlinear recursive filter, are exhibited through a dynamical analysis of the adaptation process. Since the general analysis is very difficult, the case of a first-order filter with a constant input is considered. Significant results are obtained in this particular application

Published in:

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on  (Volume:4 )

Date of Conference:

23-26 Mar 1992