The Principle of the Information-Divergence Minimum in the Problem of Spectral Analysis of the Random Time Series Under the Condition of Small Observation Samples-Reference-Cited by-同舟云学术

The Principle of the Information-Divergence Minimum in the Problem of Spectral Analysis of the Random Time Series Under the Condition of Small Observation Samples

Published:2015-10 Issue:5 Volume:58 Page:373-379
ISSN:0033-8443
Container-title:Radiophysics and Quantum Electronics
language:en
Short-container-title:Radiophys Quantum El

Author:

Savchenko V. V.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Astronomy and Astrophysics,Nuclear and High Energy Physics,Statistical and Nonlinear Physics,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1007/s11141-015-9611-4.pdf

Reference11 articles.

1. V.Yu. Belashov, E. S. Belashova, and A. I. Asadullin, Radiophys. Quantum Electron., 55, No. 9, 587 (2012).

2. V. A. Kovrigin and B. I. Shakhtarin, Methods of Spectral Estimation of Random Processes [in Russian], Goryachaya Liniya–Telekom, Moscow (2011).

3. V.V. Savchenko, Radiophys. Quantum Electron., 40, No. 4, 351 (1997).

4. S. Kullback, Information Theory and Statistics, Wiley, New York (1959).

5. D.Yu. Akat’ev and V.V. Savchenko, Avtometriya, No. 2, 68 (2005).

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