Interpolation algorithms of the non gaussian process at the output of the non linear non inertial converter

V. Kazakov, M. Sedeño
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Abstract

The sampling - reconstruction procedure (SRP) of a non Gaussian process at the output of the non linear non inertial converter driven by Gaussian process is considered. The type of the converter is exponential. The principal SRP characteristics (the reconstruction function and the error reconstruction function) are investigated for two different reconstruction algorithms. The first algorithm is based on the conditional mean rule. It provides the optimal the reconstruction function and the minimum of the error reconstruction function. The second algorithm is connected with the formulas for the Gaussian processes. This algorithm is no optimal. There is a comparison between both variants.
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非高斯过程在非线性非惯性变换器输出端的插补算法
研究了由高斯过程驱动的非线性非惯性变换器输出端非高斯过程的采样重建过程。转换器的类型是指数型的。研究了两种不同重构算法的主SRP特征(重构函数和误差重构函数)。第一种算法基于条件平均规则。给出了最优重构函数和最小误差重构函数。第二种算法与高斯过程的公式有关。这个算法不是最优的。这两种变体之间有一个比较。
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