Now showing items 1-5 of 5
Lung Sound Noise Reduction Using Gabor Time-Frequency Masking
(SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2007)
The Gabor expansion is a mathematical tool, which provides a joint time-frequency representation of a given signal by decomposing it into time-frequency elementary signals called Gabor atoms. It has been used in a variety ...
Lung model parameter estimation by unscented Kalman filter
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
Dynamic nonlinear models are the best choice to analyze respiratory systems and to describe system mechanics. In this work, Unscented Kalman Filtering (UKF) was used to estimate the dynamic nonlinear model parameters of ...
RESPIRATORY PARAMETER ESTIMATION IN LINEAR LUNG MODELS
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2008)
If the respiratory system Is represented as a one compartment model composed of linear electrical elements, the Minimum Variance Unbiased Estimation (MVUE) Is the optimum statistical method to estimate the model parameters. ...
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 ...
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 ...