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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 52, 2020 Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v32.i3.100
pages 73-84

Specificity of Information Content of Periodically Correlated and Other Compatible Random Processes as Stochastic Models of Rhythmics

Yaroslav P. Dragan
Physicomechanical Institute of National Academy of Sciences of Ukraine, Lvov, Ukraine
Lyubomir S. Sikora
Center for Strategic Studies, Lvov, Ukraine
Bogdan I. Yavorskiy
Ternopol State Technical University, Ukraine

Краткое описание

A short review on the recent results in power theory of classes of random processes is presented. These results provide the descriptions of correlation and spectral structure and also the information content (probabilistic properties) of random processes as models of stochastic oscillations and rhythmics in various natural phenomena.


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