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Program Systems: Theory and Applications, 2018, Volume 9, Issue 3, Pages 3–9
DOI: https://doi.org/10.25209/2079-3316-2018-9-3-3-9 (Mi ps301) 		 
Artificial Intelligence, Intelligent Systems, Neural Networks

Pseudo-random sequences identification by probability distribution moments

S. V. Paramonov

Ailamazyan Program Systems Institute of Russian Academy of Sciences
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DOI: https://doi.org/10.25209/2079-3316-2018-9-3-3-9
Abstract: The paper discusses the method for determining the deterministic nature of a pseudo-random process, formed by a nonlinear mapping $ [0,1] $ to $ [0,1] $. The method is based on comparing two-dimensional mixed moments of distributions of values generated by this mapping. The possibility of approximation for the mapping that generates pseudo-random process based on aggregation of two-dimensional mixed distribution moment is considered. (In Russian).
Key words and phrases: one-dimensional mapping, moments of distribution, approximations.
Funding agency Grant number
Russian Academy of Sciences - Federal Agency for Scientific Organizations 0077-2016-0002
Received: 18.07.2018
Accepted: 09.08.2018
Document Type: Article
UDC: 519.65
BBC: 32.811.3
MSC: 97P20, 97N40, 97N50
Language: Russian
Citation: S. V. Paramonov, “Pseudo-random sequences identification by probability distribution moments”, Program Systems: Theory and Applications, 9:3 (2018), 3–9
Citation in format AMSBIB
\Bibitem{Par18}
\by S.~V.~Paramonov
\paper Pseudo-random sequences identification by probability distribution moments
\jour Program Systems: Theory and Applications
\yr 2018
\vol 9
\issue 3
\pages 3--9
\mathnet{http://mi.mathnet.ru/ps301}
\crossref{https://doi.org/10.25209/2079-3316-2018-9-3-3-9}
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