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Parametrical identification of standard spectral density of casual processes by estimation of their mean square frequ

In the article the method for estimation of stochastic processes parameters, which does not require the procedure of parametric optimization and can be used in the real ti me is proposed. The analytical expressions for parameters estimating and results of computer-experiment illustrating the effectiveness of the method are obtained.



Real Time Impact Factor: Pending

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Keywords: Random process, the spectral density, RMS frequency estimation, parametric identification

ISSN: 2312-3125

EISSN: 2312-931X


EOI/DOI: 10.15673/2312 - 3125.18/2014.2


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