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Stochastic convergence properties of the adaptive gradient lattice

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2 Author(s)
G. Sohie ; Pennsylvania State University, University Park, PA ; L. Sibul

A stochastic fixed-point theorem is used as a basis for the study of stochastic convergence properties (in mean-squares sense) of the adaptive gradient lattice filter. Such properties include conditions on the stepsize in the adaptive algorithm and analytic expressions for the misadjustment and convergence rate.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.  (Volume:8 )

Date of Conference:

14-16 April 1983