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A method for estimating the parameters of the K-distribution

Iskander, D. Robert, Zoubir, Abdelhak M. , & Boashash, Boualem (1999) A method for estimating the parameters of the K-distribution. IEEE Transactions on Signal Processing, 47(4), pp. 1147-1151.

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Abstract

A method that combines the maximum likelihood and the method of moments for estimating the parameters of the K distribution is proposed. The method results in the lowest variance of parameter estimates when compared with existing non-ML techniques.

Impact and interest:

39 citations in Scopus
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39 citations in Web of Science®

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696 since deposited on 02 Mar 2005
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ID Code: 765
Item Type: Journal Article
Keywords: GBK distribution, K distribution, maximum likelihood estimation, method of moments
DOI: 10.1109/78.752614
ISSN: 1053-587X
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 1999 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 02 Mar 2005
Last Modified: 11 Aug 2011 04:41

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