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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2018 Volume 9, Issue 3, Pages 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

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.

UDC: 519.65
BBK: 32.811.3

MSC: 97P20, 97N40, 97N50

Received: 18.07.2018
Accepted: 09.08.2018

DOI: 10.25209/2079-3316-2018-9-3-3-9



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