NDLI: Training recursive structures for weighted order statistic filtering

Content Provider	IEEE Xplore Digital Library
Author	Lucke, L.E. Kroenke, R.A.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA (Lucke, L.E.; Kroenke, R.A.)
Abstract	The weighted order statistics (WOS) filter is an extension of the median filter where the inputs are weighted. As in linear filtering, optimal filtering theory has been developed for non-recursive WOS-filters. This theory is analogous to optimal FIR filtering. In this paper we develop optimal filtering theory for recursive WOS filters. A recursive WOS filter contains previously calculated outputs within the sample window and is analogous to the IIR filter. We show by simulation that, like the IIR filter, the advantage of the optimal recursive WOS filter is that it requires fewer sample points within the sample window compared to the optimal non-recursive WOS filter. Furthermore, the recursive WOS filter does not have the stability problems of the IIR filter. The optimal recursive WOS filter requires fewer sample points than the corresponding non-recursive WOS filter. A smaller sample window leads to a reduction in the complexity of the WOS implementation.<>
Starting Page	185
Ending Page	188
File Size	421696
Page Count	4
File Format	PDF
ISBN	078031915X
DOI	10.1109/ISCAS.1994.409334
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-05-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistics Finite impulse response filter Nonlinear filters IIR filters Filtering theory Stability Maximum likelihood detection Adaptive filters
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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