DocumentCode
3524387
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
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
810
Lastpage
813
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN
0-7803-8292-7
Type
conf
DOI
10.1109/ISSPIT.2003.1341244
Filename
1341244
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