Akan, AydınSAATÇI, ESRA2016-05-042016-05-042009http://hdl.handle.net/11413/1270In 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.en-USGeneralized Gauss Distribution Noise Model for Respiratory Parameter EstimationArticle273935600101273935600101