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- W2243726061 abstract "The method of the reconstruction of Gaussian processes realizations based on the Conditional Mean Rule is described. The optimal reconstruction algorithms of stationary and non stationary processes are considered. In result of the investigation, two principal characteristics (the reconstruction function and the error reconstruction function) are obtained for all variants of processes. There are two features of studied algorithms: the reconstruction function is a linear function of samples and the error reconstruction function does not depend on the values of samples. These features are valid for the sampling-reconstruction procedure of Gaussian processes only." @default.
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- W2243726061 date "2011-05-27" @default.
- W2243726061 modified "2023-09-23" @default.
- W2243726061 title "The reconstruction of Gaussian processes realizations with an arbitrary set of samples" @default.
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