A collaborative filter approach to adaptive noise cancellation

In this paper we propose a filter combination for the adaptive noise cancellation (ANC) problem in nonlinear environment. The architecture consists in a convex combination of two adaptive filters: a classical filter and a nonlinear filter based on Functional Links.While the convergence of the linear filter is very fast, the convergence of the nonlinear one might be slower, even if it provides a more accurate solution. The convex combination of both filters allows to reach good performances in terms of convergence and speed. In addition a variable step size is used in order to obtain better performance. Several experimental results, in different reverberant conditions, demonstrate the effectiveness of the proposed approach. © Springer-Verlag Berlin Heidelberg 2013.