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.

+ - References Click to collapse

1. Grigor'ev F. N., Kuznetsov N. A. (2012). The task of pattern recognition for the diagnosis of Parkinson's disease according to the EEG. Zhurnal radioelektroniki, (1). Availa-ble at: http://jre.cplire.ru.
2. Evdokimov Iu. K., Martem'ianov S. A., Denisov E. S. (2009). Electrical noise hydrogen fuel cell and the study of its diagnostic properties. Nelineinyi mir, 7(9), pp. 706-712.
3. Kolesnikova S. I. (2010). Using a posteriori infor-mation for the management of poorly formalized dynamic object. Avtometriia, 46(6), pp. 78-89.
4. Kobenko V. Iu., Ikhlazov S. Z., Golunov A. V. (2011). Determining the surface quality of paper with the fractal analysis. Omskii nauchnyi vestnik, (3), pp. 330-334.
5. Klikushin Iu. N., Kobenko V. Iu. (2013). Identifica-tion method for signals classification. Omskii nauchnyi vestnik, (2), pp. 262-272.
6. Klikushin Iu. N. (2010). Identification tools of anal-ysis and synthesis waveforms. Omsk: Izdatel'stvo OmGTU.
7. Kobenko V. Iu. (2014). Identification measure-ments: methods, models, technology. Omsk: Izdatel'stvo OmGTU.
8. Gonorovskii I. S. (1986). Radio technical circuits and signals. Moscow: Sovetskoe radio.
9. Klikushin Iu. N., Kobenko V. Iu. (2006). Funda-mentals of identification measurements. Zhurnal radioelektroniki, (11). Available at: http://jre.cplire.ru.
10. Klikushin Iu. N., Kobenko V. Iu., Gorshenkov A. A. (2013). Identification method of comparison of the signals. Kontrol'. Diagnostika, (6), pp. 28-34.
11. Feder E. (1991). Fractals. Moscow: Mir.

+ - Purchase digital version of a single article Click to collapse

This article is available in electronic format (PDF).

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

Copy the article DOI and follow the link https://id-spektr.ru/product/pokupka-elektronnoy-stati-iz-zhurnala-kontrol-diagnostika

Please specify the article DOI in the order comments.