• DocumentCode
    41137
  • Title

    An Approximate ML Estimator for the Location Parameter of the Generalized Gaussian Distribution With p=5

  • 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=41137