An RBFN-Wiener hybrid filter using higher order signal statistics

Authors:
Noriaki Suetake;Eiji Uchino
Affiliations:
Department of Physics, Biology and Informatics, Yamaguchi University 1677-1 Yoshida, Yamaguchi 753-8512, Japan;Department of Physics, Biology and Informatics, Yamaguchi University 1677-1 Yoshida, Yamaguchi 753-8512, Japan
Venue:
Applied Soft Computing
Year:
2007

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Abstract

In this paper we propose a radial basis function network (RBFN) based nonlinear filter with a basic framework of a linear Wiener filter. In addition, in order to improve the filtering performance, we further propose a novel nonlinear filter, which is synthesized by a hybridization of an RBFN filter and a linear Wiener filter. The proposed filters are realized with a least mean square error scheme using higher order statistics of a target signal and an observation noise. The validity and the effectiveness of the proposed filters have been verified by applying them to the actual filtering problems of the noisy images.