Отрывок: A. Gerasimova IV Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2018) 2019 Please note the following. The initial vector of random variables which characterizes traffic, is divided into a set of vectors ( 2k + 1 ) -elements each. Each of them is processed independently by systems (1,2). As a result we get the desired decorrelation sequence of data. Reconstruction of the initial vector of data is finding of all values of the set through know...
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dc.contributor.authorGerasimova, Y.A.-
dc.date.accessioned2018-05-22 09:46:05-
dc.date.available2018-05-22 09:46:05-
dc.date.issued2018-
dc.identifierDspace\SGAU\20180518\69625ru
dc.identifier.citationGerasimova Y.A. Parallel algorithm of spline-based wavelet transform // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С. 2018-2021.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Parallel-algorithm-of-splinebased-wavelet-transform-69625-
dc.description.abstractWe consider the issue of loosening heavy-tails in process of analyzing data in queueing theory with using spline wavelet functions. Algorithms of decomposition and reconstruction of sequences of random variables were shown. Options of algorithms paralleling, their advantages and disadvantages were assessed. We research and analyze the results of computational experiment on fixed traffics.ru
dc.description.sponsorshipThe author is grateful to Mr. I.A. Blatov, the Advanced Mathematics Department Head, for his help, valuable advice and comments on this article.ru
dc.language.isoen_USru
dc.publisherНовая техникаru
dc.subjectspline waveletsru
dc.subjectdiscrete wavelet transformru
dc.subjectparallel algorithmru
dc.titleParallel algorithm of spline-based wavelet transformru
dc.typeArticleru
dc.textpartA. Gerasimova IV Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2018) 2019 Please note the following. The initial vector of random variables which characterizes traffic, is divided into a set of vectors ( 2k + 1 ) -elements each. Each of them is processed independently by systems (1,2). As a result we get the desired decorrelation sequence of data. Reconstruction of the initial vector of data is finding of all values of the set through know...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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