Title :
Coefficient-dependent step-size for adaptive second-order Volterra filters
Author :
Kuech, Fabian ; Kellermann, Walter
Author_Institution :
Telecommun. Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany
Abstract :
In this contribution we propose a coefficient-dependent and time-variant step-size for the least mean square (LMS) algorithm applied to adaptive second-order Volterra filters. The optimum step-size is derived by introducing a novel optimality criterion which is given by the minimum mean squared error between the coefficient error of an adaptive Volterra filter coefficient and the respective LMS update term of that coefficient. As the optimum step-size includes statistical terms that are in general not accessible, we also present models for estimating these quantities for the application in nonlinear acoustic echo cancellation.
Keywords :
adaptive estimation; adaptive filters; least mean squares methods; nonlinear estimation; nonlinear filters; statistical analysis; LMS algorithm; adaptive second-order Volterra filter; coefficient-dependent step-size; least mean square algorithm; minimum mean squared error; nonlinear acoustic echo cancellation; nonlinear estimation; time-variant step-size; Abstracts; Adaptive filters; Kernel; Laboratories; Simulation; Telecommunications;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7