DocumentCode :
41137
Title :
An Approximate ML Estimator for the Location Parameter of the Generalized Gaussian Distribution With 
Author :
Qintian Guo ; Beaulieu, Norman C.
Author_Institution :
iCORE Wireless Commun. Lab., Univ. of Alberta, Edmonton, AB, Canada
Volume :
20
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
677
Lastpage :
680
Abstract :
Estimation of the location parameter of the generalized Gaussian distribution with shape parameter p = 5 is studied and a novel closed-form approximate maximum likelihood estimator is proposed. The new estimator outperforms all other closed-form estimators for p=5 .
Keywords :
Gaussian distribution; maximum likelihood estimation; signal processing; ML estimator; closed-form approximate maximum likelihood estimator; closed-form estimators; generalized Gaussian distribution; location parameter estimation; shape parameter; Approximation methods; Equations; Gaussian distribution; Mathematical model; Maximum likelihood estimation; Shape; Signal to noise ratio; Estimation; generalized Gaussian distribution (GGD); location parameter; maximum likelihood (ML) estimator;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2013.2260823
Filename :
6510440
Link To Document :
