Presentation 1997/3/7
Design of Adaptive Stack Filters Using Counter Propagation Networks
Mitsuji MUNEYASU, Yoshihiro YASUI, Takao HINAMOTO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, a novel design technique of adaptive stack filters is proposed. The Boolean function of the proposed filters is selected by the controller based on the counter propagation networks. This controller classifies an input vector into some cluster according to its pattern and selects the Boolean function corresponding to its cluster. The Boolean functions used in this technique are adjusted by using adaptive least mean absolute (ALMA) algorithm. As the inputs of this controller, each case of binary and multilevel signals is considered. Finally, a simulation example is given to illustrate the utility of the proposed technique.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) noise reduction / edge-preserving smoothing / neural network / image processing / nonlinear filter
Paper # CAS96-107,DSP96-158,CS96-163
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Conference Information
Committee DSP
Conference Date 1997/3/7(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of Adaptive Stack Filters Using Counter Propagation Networks
Sub Title (in English)
Keyword(1) noise reduction
Keyword(2) edge-preserving smoothing
Keyword(3) neural network
Keyword(4) image processing
Keyword(5) nonlinear filter
1st Author's Name Mitsuji MUNEYASU
1st Author's Affiliation Faculty of Engineering, Hiroshima University()
2nd Author's Name Yoshihiro YASUI
2nd Author's Affiliation Faculty of Engineering, Hiroshima University
3rd Author's Name Takao HINAMOTO
3rd Author's Affiliation Faculty of Engineering, Hiroshima University
Date 1997/3/7
Paper # CAS96-107,DSP96-158,CS96-163
Volume (vol) vol.96
Number (no) 552
Page pp.pp.-
#Pages 8
Date of Issue