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Generalized Gauss Distribution noise model for respiratory parameter estimation

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2 Author(s)
Esra Saatci ; Elektronik Mühendisli¿i Bölümü, ¿stanbul Kültür Üniversitesi, Turkey ; Aydin Akan

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.

Published in:

2009 IEEE 17th Signal Processing and Communications Applications Conference

Date of Conference:

9-11 April 2009