Generalized Gauss Distribution Noise Model for Respiratory Parameter Estimation


SAATÇI E., Akan A.

IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Turkey, 9 - 11 April 2009, pp.403-404 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2009.5136352
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.403-404

Abstract

In this studs, 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.