Parameter evaluation of autoregress at autocorrelated hindrances of output signals

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In the article we study the constant numerical method of minimization of two square-law function ratio that allows to find the estimates of autoregress parameters at the final sample and autocorrelated supervision hindrances.

Короткий адрес: https://sciup.org/148197856

IDR: 148197856

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