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dc.contributor.authorGorev, V. N.
dc.contributor.authorGusev, A. Yu.
dc.contributor.authorKorniienko, V. I.
dc.contributor.authorVoronko, T. E.
dc.date.accessioned2023-03-07T09:39:03Z
dc.date.available2023-03-07T09:39:03Z
dc.date.issued2022
dc.identifier.citationOn the discrete kolmogorov–wiener filter for the one-point prediction of exponentially smoothed heavy-tail processes / Gorev V. N., Gusev A. Yu., Korniienko V. I., Voronko T. E. // Молодь: наука та інновації : матеріали 10-ої всеукр. наук.-техн. конф. студентів, аспірантів і молодих учених, м. Дніпро, 23–25 листопада 2022 р. – Дніпро : НТУ ДП, 2022.- С. 337-338uk_UA
dc.identifier.urihttp://ir.nmu.org.ua/handle/123456789/162723
dc.description.abstractThe prediction of telecommunication traffic is an important problem for telecommunications and cyber security, see a detailed description in [1]. There are a plenty of different (and rather sophisticated) approaches to traffic prediction, see [1]. The telecommunication traffic is considered to be stationary random process in a couple of models, and, as is known, such a simple algorithm as the Kolmogorov–Wiener filter may be applied to prediction of stationary processes. So, it is of interest to investigate the possibility of the Kolmogorov–Wiener filter application to heavy-tail process prediction, because traffic in telecommunication systems with data packet transfer in considered to be a heavy-tail random process, see [2,3]. Out previous paper [4] is devoted to the corresponding problem.uk_UA
dc.language.isoenuk_UA
dc.publisherНТУ ДПuk_UA
dc.subjectфільтр Колмогорова-Вінераuk_UA
dc.subjectтелекомунікаційний трафікuk_UA
dc.subjectкібербезпекаuk_UA
dc.titleOn the discrete kolmogorov–wiener filter for the one-point prediction of exponentially smoothed heavy-tail processesuk_UA
dc.typeArticleuk_UA
dc.identifier.udk519.6uk_UA


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Показати скорочений опис матеріалу