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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v30.i2-3.240
pages 181-190

Component Spectral Analysis of Signals with a Stochastic Repetition

I. Yu. Isaev
Physico-Mechanical Institute, National Academy of Sciences of Ukraine, Lviv
I. N. Yavorskii
Institute of Physics and Mechanics of National Academy of Sciences of Ukraine, Kiev

RESUMO

Properties of estimators of the spectral density of periodically correlated stochastic processes which is constructed by using the component estimation method are studied, formulas for the spectral analysis of signals with a stochastic repetition are deduced, and conclusions on the quality of estimation of probability characteristics are presented.

Referências

  1. Gribanov, Yu. I. and Mal'kov, V. L., Spektral'nyi analiz sluchainykh protsessov (Spectral Analysis of Stochastic Processes).

  2. Marpl, S. L., Jr., Tsifrovoi spektal'nyi analiz i ego prilozheniya (Digital Spectral Analysis and Its Applications).

  3. Jenkins, G. and Watts, D., Spektral'nyi analiz i ego prilozheniya (Spectral Analysis and Its Applications).

  4. Dragan, Ya. P., Rozhkov, V. A., and Yavorskii, I. N., Metody veroyatnostnogo analiza ritmiki okeonograficheskikh protsessov (Methods for Probabilistic Analysis of Rithms of the Oceanographic Processes).

  5. Dragan, Ya. P. and Yavorskii, I. N., Ritmika morskogo yavleniya i podvodnye akusticheskie signaly (Rithm of a Sea Phenomenon and Undersea Acoustic Signals).

  6. Isaev, I. Yu. and Yavorskii, I. N., Component Analysis of Time Series with Rithm Structure.

  7. Yavorskii, I. N., Component Estimators of Probability Characteristics of Periodically Correlated Sctochastic Processes.

  8. Yaglom, A. M., Korrelyatsionnaya teoriya statsionarnykh sluchainykh funktsii (Correlation theory of Stationary Random Functions).


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