Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/30106
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dc.contributor.authorЯновський, Фелікс-
dc.contributor.authorRudyakova, A.N.-
dc.contributor.authorSinitsyn, R.B.-
dc.date.accessioned2017-07-27T19:02:11Z-
dc.date.available2017-07-27T19:02:11Z-
dc.date.issued2016-05-
dc.identifier.isbn978-1-5090-2517-6-
dc.identifier.urihttp://er.nau.edu.ua/handle/NAU/30106-
dc.descriptionF.J. Yanovsky, A.N. Rudyakova, and R.B. Sinitsyn, Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications. 2016 17th International Radar Symposium (IRS) ISBN: 978-1-5090-2517-6, Krakow, May 10-12, 2016, pp. 1-4.uk_UA
dc.description.abstractThe paper presents a multivariate copula approach to identify the dependence between different polarimetric parameters. This approach can be used to develop a new method of invariant polarimetric classification of radar targets. Signals from meteorological target are processed as an example.uk_UA
dc.language.isoenuk_UA
dc.publisher2016 17th International Radar Symposiumuk_UA
dc.subjectradar signal processinguk_UA
dc.titleMultivariate Copula Approach for Polarimetric Classification in Weather Radar Applicationsuk_UA
dc.typeArticleuk_UA
Appears in Collections:Наукові статті кафедри електроніки, робототехніки і технологій моніторингу та інтернету речей

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