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dc.contributor.authorSvihlik, J.
dc.contributor.authorFliegel, K.
dc.contributor.authorKoten, P.
dc.contributor.authorVitek, S.
dc.contributor.authorPata, P.
dc.date.accessioned2016-02-26T08:17:26Z
dc.date.available2016-02-26T08:17:26Z
dc.date.issued2011-04cs
dc.identifier.citationRadioengineering. 2011, vol. 20, č. 1, s. 110-117. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/56805
dc.description.abstractThis paper is devoted to the noise analysis and noise suppression in a system for double station observation of the meteors now known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis is based on acquisition of testing video sequences in different light conditions and their further statistical evaluation. The main goal is to find a suitable noise model and subsequently determine if the noise is signal dependent or not. Noise and image model in the wavelet domain should be based on Gaussian mixture model (GMM) or Generalized Laplacian Model (GLM) and the model parameters should be estimated by moment method. Furthermore, noise should be modeled by GMM or GLM also in the space domain. GMM and GLM allow to model various types of probability density functions. Finally the advanced denoising algorithm using Bayesian estimator is applied and its performance is verified.en
dc.formattextcs
dc.format.extent110-117cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2011/11_01_110_117.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMAIAen
dc.subjectmeteoren
dc.subjectnoise analysisen
dc.subjectGMMen
dc.subjectGLMen
dc.subjectBayesian estimatoren
dc.subjectdicrete wavelet transformen
dc.titleNoise Analysis of MAIA System and Possible Noise Suppressionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume20cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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