Title :
A synthesis of an RBF network filter based on statistical independence between signals
Author :
Uchino, Eiji ; Suetake, Noriaki ; Tujimoto, Yuko
Author_Institution :
Dept. of Phys., Biol. & Informatics, Yamaguchi Univ., Japan
Abstract :
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.
Keywords :
Wiener filters; least mean squares methods; nonlinear filters; radial basis function networks; signal synthesis; RBF network filter; Wiener filter; least mean square scheme; nonlinear filter; radial basis function network; Additive noise; Filtering; Informatics; Least squares methods; Network synthesis; Nonlinear filters; Physics; Radial basis function networks; Signal synthesis; Wiener filter;
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
DOI :
10.1109/ISSPIT.2003.1341244
