• DocumentCode
    3631994
  • Title

    Generalized Gauss Distribution noise model for respiratory parameter estimation

  • Author

    Esra Saatci;Aydin Akan

  • Author_Institution
    Elektronik M?hendisli?i B?l?m?, ?stanbul K?lt?r ?niversitesi, Turkey
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    In this study, measurement noise is modelled as a generalized Gauss distribution and a new method is presented to estimate the model parameters. The estimator algorithm consists of the Kurtosis method, Kalman iterarions and the maximum likelihood method. The proposed method is successfully applied to linear lung model parameter estimation problem.
  • Keywords
    "Gaussian noise","Gaussian distribution","Parameter estimation","Gaussian processes","Kalman filters","Noise measurement","Maximum likelihood estimation","Lungs","Entropy","Reactive power"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-4435-9
  • Type

    conf

  • DOI
    10.1109/SIU.2009.5136352
  • Filename
    5136352
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3631994