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Optimal Polynomial Extrapolation of Realization of a Random Process with a Filtration of Measurement Errors

机译:具有测量误差过滤的随机过程的最优多项式外推

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摘要

The polynomial algorithm of optimal extrapolation of a random process with a filtration of measurement errors is obtained. The forecasting algorithm, as well as the canonical expansion, taken as a basis, does not impose any significant restrictions on the class of the studied random processes (linearity, Markov property, stationarity, monotony, etc.).
机译:获得了一种随机过程的最佳外推多项式算法,该算法可以滤除测量误差。预测算法以及规范展开作为基础,对所研究的随机过程的类别(线性,马尔可夫性质,平稳性,单调性等)不施加任何重大限制。

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