A backpropagation algorithm for multilayer hybrid order statistic filters

Author

Palmieri, Francesco

Author_Institution

Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA

fYear

1989

Firstpage

1179

Abstract

A hybrid linear order statistic (HLOS) filter is a network of interconnected linear combiners and rank-forming blocks. This structure generalizes most of the previously proposed order statistic filters, including the median filter. The author derives a simple algorithm to compute the coefficients of the filter adaptively and reports a successful simulation of the restoration of a square wave corrupted by non-Gaussian noise. It is noted that HLOS filters show great potential in applications such as image processing and filtering of signals of nonstrictly stationary nature

Keywords

digital filters; filtering and prediction theory; backpropagation algorithm; hybrid linear order statistic; image processing; interconnected linear combiners; median filter; multilayer hybrid order statistic filters; nonGaussian noise; rank-forming blocks; signals filtering; simulation; square wave; Adaptive filters; Backpropagation algorithms; Computational modeling; Filtering; Image processing; Image restoration; Nonhomogeneous media; Nonlinear filters; Signal restoration; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266644

Filename

266644