DESIGN OF WEIGHTED ORDER STATISTIC FILTERS USING THE PERCEPTRON ALGORITHM

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We observe that the design of optimal weighted order statistic (WOS) filters under the mean absolute error criterion can be thought of as a two-class linear classification problem. Based on this observation, the perceptron algorithm is applied in designing WOS filters. It is shown experimentally that the perceptron algorithm can find optimal or near-optimal WOS filters in practical situations.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1994-11
Language
English
Article Type
Letter
Keywords

STACK FILTERS

Citation

IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.42, no.11, pp.3264 - 3269

ISSN
1053-587X
URI
http://hdl.handle.net/10203/12194
Appears in Collection
EE-Journal Papers(저널논문)
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