A synthesis of an RBF network filter based on statistical independence between signals

In this paper we propose a novel nonlinear filter, with a basic framework of the Wiener filter, based on a radial basis function (RBF) network. The proposed filter is synthesized with a least mean square scheme using a statistical independence between a target signal and an observation noise. The validity and effectiveness of the proposed filter are verified by applying it to the actual filtering problem of the noisy images.