NDLI: Fast algorithms for training stack filters

Content Provider	IEEE Xplore Digital Library
Author	Jean-Hsang Lin Yeong-Taeg Kim
Copyright Year	1991
Abstract	Stack filters constitute a class of nonlinear digital filters possessing a weak superposition property. In the paper, fast algorithms for training stack filters are introduced. The first algorithm is based on a technique previously developed. Similar to the previous algorithm, this improved method requires only simple arithmetic operations-increment, decrement, and local comparison. The /spl epsiv/-convergence property of the fast algorithm is established. In addition, two fast training algorithms are developed for a subclass of stack filters called weighted order statistic filters. These fast algorithms are variants of the LMS and RLS algorithms in linear filters. All three fast algorithms developed exploit the repetition property of the training input. The factor of speedup is approximately the ratio between the number of quantization levels of the input and the window size.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	772
Ending Page	781
Page Count	10
File Size	893276
File Format	PDF
ISSN	1053587X
Volume Number	42
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nonlinear filters Digital filters Statistics Filtering Image edge detection Arithmetic Least squares approximation Resonance light scattering Quantization Image restoration
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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