Publication:
Generalized Gauss Distribution Noise Model for Respiratory Parameter Estimation

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dc.contributor.authorAkan, Aydın
dc.contributor.authorSAATÇI, ESRA
dc.contributor.authorIDTR112197tr_TR
dc.contributor.authorIDTR2918tr_TR
dc.date.accessioned2016-05-04T11:56:45Z
dc.date.available2016-05-04T11:56:45Z
dc.date.issued2009
dc.description.abstractIn 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.tr_TR
dc.identifier.urihttp://hdl.handle.net/11413/1270
dc.identifier.wos273935600101
dc.identifier.wos273935600101en
dc.language.isoen_UStr_TR
dc.publisherIeee, 345 E 47Th St, New York, Ny 10017 Usatr_TR
dc.relation2009 Ieee 17Th Signal Processing And Communications Applications Conference, Vols 1 And 2tr_TR
dc.titleGeneralized Gauss Distribution Noise Model for Respiratory Parameter Estimationtr_TR
dc.typeArticle
dspace.entity.typePublication
local.indexed.atwos
relation.isAuthorOfPublication4ea2111e-03d0-4752-b669-381c65df2e4d
relation.isAuthorOfPublication.latestForDiscovery4ea2111e-03d0-4752-b669-381c65df2e4d

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