Methods of Probability Density Function of Non-Gaussian Processes Approximation in Information-Measuring Devices

机译：信息测量设备中非高斯过程近似的概率密度函数方法

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摘要

The article deals with the methods of formation of non-Gaussian processes with application of functional approximation of probability density function (PDF), as well as one-dimensional and specially constructed transient PDF. The results of modeling the two-dimensional Laplace PDF are presented.

机译：本文介绍了通过概率密度函数（PDF）的函数逼近以及一维和特殊构造的瞬态PDF来形成非高斯过程的方法。给出了二维Laplace PDF建模的结果。

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来源
《IEEE International Conference on Quality Management, Transport and Information Security, Information Technologies》|2018年|511-514|共4页
会议地点 St. Petersburg(RU)
作者
Vladimir G. Isaev; Vladimir M. Artuschenko; Victor I. Privalov;
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作者单位

State Budget Educational Institution of Higher Education of Moscow Region 'Technological University' Korolev Russia;

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关键词
Probability density function; Correlation; Transient analysis; Approximation methods; Gaussian processes; Testing; Correlation coefficient;

机译：概率密度函数；相关性瞬态分析；近似方法；高斯过程；测试；相关系数;

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Methods of Probability Density Function of Non-Gaussian Processes Approximation in Information-Measuring Devices

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