NDLI: Signal processing in non-Gaussian noise using mixture distributions and the EM algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kozick, R.J. Blum, R.S. Sadler, B.M.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA (Kozick, R.J.)
Abstract	Many techniques have been developed and optimized for processing signals that are corrupted by additive, Gaussian noise. The schemes designed for Gaussian noise typically perform very poorly when the noise is non-Gaussian. An approach for non-Gaussian signal processing is presented in this paper that is based on modeling the probability density function (pdf) of the additive noise with a finite mixture of Gaussian pdfs. Model parameters are estimated using iterative procedures derived from the expectation-maximization (EM) algorithm. Explicit algorithms are presented for several signal processing problems using this framework, including linear regression, array processing, and sequence estimation for intersymbol interference communication channels. The resulting algorithms are data-adaptive, in that they characterize the non-Gaussian noise and then modify the signal processing accordingly.
Starting Page	438
Ending Page	442
File Size	490486
Page Count	5
File Format	PDF
ISBN	0818683163
ISSN	10586393
DOI	10.1109/ACSSC.1997.680365
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Signal processing algorithms Gaussian noise Iterative algorithms Array signal processing Additive noise Probability density function Parameter estimation Linear regression Intersymbol interference
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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