NDLI: Adaptive mean/median filtering

Content Provider	IEEE Xplore Digital Library
Author	Schroeder, J. Chitre, M.
Copyright Year	1996
Description	Author affiliation: Dept. of Eng., Denver Univ., CO, USA (Schroeder, J.)
Abstract	The use of median and averaging filters is fairly routine in signal processing applications. One problem in using such algorithms is the lack of objective criteria by which to decide whether an averager or a median filter is more appropriate. We formulate an L/sub p/ (1/spl les/p/spl les/2) normed filter where p is chosen as a function of the kurtosis of the residual vector; we restrict attention in this work to a mean filter (p=2) and a median filter (p=1). In order to highlight the effectiveness of this filtering algorithm we demonstrate reduced sum squared error by adaptively filtering a sinusoid in the presence of both additive white Gaussian noise and an impulsive noise component.
Starting Page	13
Ending Page	16
File Size	290680
Page Count	4
File Format	PDF
ISBN	0818676469
ISSN	10586393
DOI	10.1109/ACSSC.1996.600807
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Laplace equations Signal processing algorithms Maximum likelihood estimation Least squares approximation Additive white noise Nonlinear equations Filtering algorithms Noise reduction Gaussian noise
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Signal Processing

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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
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