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

Yaroslav P. Dragan; Lyubomir S. Sikora; Bogdan I. Yavorskiy

doi:10.1615/JAutomatInfScien.v32.i3.100

Journal of Automation and Information Sciences

Editor en Jefe: Arkadiy A. Chikriy (open in a new tab)

Editor Asociados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

Indexed in

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

Volumen 32, Edición 3, 2000, pp. 73-84

DOI: 10.1615/JAutomatInfScien.v32.i3.100

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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

SINOPSIS

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.

PALABRAS CLAVE: oscillations, rhythmics, random process, stochastic model, measure.

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