10.14489/td.2015.04.pp.060-065

2015, 04 April

DOI: 10.14489/td.2015.04.pp.060-065

Klikushin Yu.N., Kobenko V.Yu.
METHOD OF THE EMPIRICAL ASSESSMENT OF THE REGULARITY-RANDOMNESS PROPERTIES OF SIGNALS
(pp. 60-65)

Abstract. It is described a method for assessing the properties of regularity-chaotic signal sample implementations based on the identification signal model l. This model generalizes the classical model, a rotating vector in a complex plane with an angular velocity which depends on two parameters: the shape of distribution of the instantaneous values and the characteristic frequency. This complementation establishes the rule of comparison of signals: for the identical distribution of instantaneous values, more regular is that signal which characteristic frequency is less.

Keywords: algorithm, diagnostics, identification model signal, waveform parameter, regularity-randomness degree, characteristic frequency.

+ - About the Authors Click to collapse

J. N. Klikushin, V. Y. Kobenko
Omsk State Technical University, Omsk, Russia. E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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