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Generalized Gauss Distribution noise model for respiratory parameter estimation

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2 Author(s)
Saatci, E. ; Elektron. Muhendisligi Bolumu, Istanbul Kultur Univ., Istanbul, Turkey ; Akan, A.

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:

Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th

Date of Conference:

9-11 April 2009