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Journal of Automation and Information Sciences

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Component Spectral Analysis of Signals with a Stochastic Repetition

巻 30, 発行 2-3, 1998, pp. 181-190
DOI: 10.1615/JAutomatInfScien.v30.i2-3.240
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要約

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.

参考
  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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