Now showing items 1-2 of 2
Generalized Gauss Distribution Noise Model for Respiratory Parameter Estimation
(Ieee, 345 E 47Th St, New York, Ny 10017 Usa, 2009)
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 ...
Dual Kalman Filter based State-Parameter Estimation in Linear Lung Models
(Springer, 233 Spring Street, New York, Ny 10013, United States, 2009)
Time-domain approach to inverse modeling of respiratory system requires estimation of the parameters from the noisy observation. In this work, states and parameters of the linear lung models are estimated simultaneously ...