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| Título: | The Methods of Change Point Detection and Statistical Estimating of Dynamic of the Noise Stochastic Signals Characteristics |
| Authors: | Leschyshyn, Y.Z. Nazarevych, O.B. Shymchuk, G.V. Revutskyi, E.A. Shcherbak, L.M. |
| Affiliation: | Ternopil Ivan Puluj National Technical University, Ukraine National Aviation University, Ukraine |
| Bibliographic description (Ukraine): | Shcherbak L.M. The Methods of Change Point Detection and Statistical Estimating of Dynamic of the Noise Stochastic Signals Characteristics /Shcherbak L.M. Leschyshyn Y.Z., Nazarevych O.B., Shymchuk G.V., Revutskyi E.A./ THE SEVENTH WORLD CONGRESS “AVIATION IN THE XXI-st CENTURY” Safety in Aviation and Space Technologies September 19-21, NATIONAL AVIATION UNIVERSITY.-Kyiv: NAU.-2016.- P. 1.11.43- 1.11.46 |
| Conference/Event: | THE SEVENTH WORLD CONGRESS “AVIATION IN THE XXI-st CENTURY” Safety in Aviation and Space Technologies September 19-21, NATIONAL AVIATION UNIVERSITY |
| Data de edición: | 21-Sep-2016 |
| Date of entry: | 16-Jun-2017 |
| Editor: | Kyiv: NAU |
| UDC: | 621.391 |
| Palabras chave: | Methods of Change Point Detection Change Point Detection |
| Number of pages: | 1.11.43- 1.11.46 |
| Resumo: | General vector model of the noise stochastic signals with piece-stationary and pieceperiodic stochastic processes is presented. Using statistical estimation of the time change points of the indicated components on the well-known detection methods gives the opportunity to use powerful statistical analysis of the stationary and periodic stochastic processes. |
| URI: | http://elartu.tntu.edu.ua/handle/lib/21146 |
| Copyright owner: | Leschyshyn Y.Z. |
| References (Ukraine): | Nazarevych O.B. Information technology for monitoring of city gas consumption. Thesis for the degree of candidate of technical sciences: 05.13.06 – Information Technology / O.B. Nazarevych – Ternopil, 2015. – 21p. Yavorskyy B. The method of change-point detection of rhythmocardiosignal / B. Yavorskyy, Y. Leschyshyn // Computer Science and Information Technology / Visnyk. – №694. – Lviv: Lviv Polytechnic National University, 2011. – P.107-113. Root W. L., “Remarks, Mostly Historical, on Signal Detection and Signal Parameter Estimation,” Proc. IEEE 75 (11), 1987, P.1446–1457 Kailath T. Detection of stochastic processes / T. Kailath, H.V. Poor // IEE Trans. on IT.–v.44.–№6, 1998.– P.2230-2259. Brodskij B.E. Comparative analysis of some nonparametric methods of the stochastic sequence change point detection/ B.E. Brodskij, B.S. Darhovskij // Probability Theory and its Applications. – 1990. – V.35, №4. – P.655-668. Trifonov A.P. Detecting of the stochastic signals with the unknown parameters / A.P.Trifonov, E.P.Nechaev, V.I.Parfenov. – Voronezh : VSU, 1991. – 246p. Vilenkin S.Ja. Statistical results processing of the stochastic functions exploration [Text]: monograf / S.Ja.Vilenkin. – M.: Energy, 1979. – 320p.: il. Anderson T.W. The Statistical Analysis of Time Series. John Wiley & Sons, New York, 1971. – 718p. Javorskyj I. M. Mathematical models and analysis of stochastic oscillations. – Lviv: IPM NASU, 2013. – 804p. |
| References (International): | General vector model of the noise stochastic signals with piece-stationary and pieceperiodic stochastic processes is presented. Using statistical estimation of the time change points of the indicated components on the well-known detection methods gives the opportunity to use powerful statistical analysis of the stationary and periodic stochastic processes. |
| Aparece nas Coleccións | Навчальна література кафедри біотехнічних систем |
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