DocumentCode
2031069
Title
Design of multistage weighted order statistic filters by a neural network
Author
Pi, Yiming ; Huang, Shunji
Author_Institution
Beijing Univ. of Posts & Telecommun., China
Volume
1
fYear
1995
fDate
23-26 Oct 1995
Firstpage
346
Abstract
A genetic back-propagation (BP) algorithm is used to solve the optimal design problem of multistage weighted order statistic filter under the mean absolute error criterion. It is shown experimentally that this algorithm can find the optimal WOS filter in image restoration application
Keywords
adaptive filters; adaptive signal processing; backpropagation; circuit optimisation; digital filters; image restoration; multilayer perceptrons; nonlinear filters; adaptive filter; genetic backpropagation algorithm; image restoration; mean absolute error criterion; multilayer neural network; multistage weighted order statistic filters; nonlinear digital filter; optimal WOS filter; optimal design; Adaptive filters; Algorithm design and analysis; Boolean functions; Digital filters; Error analysis; Genetics; Multi-layer neural network; Neural networks; Stacking; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.529717
Filename
529717
Link To Document