Method of Investigating the Convergence of Adaptive Filtering Algorithms Utilizing Stochastic Lyapunov Functions

The article describes a method of investigating the convergence of an adaptive filter in the case in which the statistical characteristics of the useful signal and noise are unknown. It is shown how to construct adaptation algorithms so as to ensure satisfaction of the convergence conditions obtained.