Gram-Charlier distribution in statistical problems of optics

V. Zhytaryuk, E. Kurek
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Abstract

In statistical problems of optics to assess the nature of the distribution of random variables and in modern research in the field of signal processing, there is an interest in using Chebyshev-Hermit functions for coding and decoding of signals, since signal components can be described by Gram-Charlier distribution, which has universal properties, can substitute of all known distributions of random variables, and in the case of symmetry takes the form of a Gaussian distribution. A striking feature of skewness and kurtosis is their property of geometric interpretation. It is shown that the application of these parameters in decoding makes it possible to identify the overlapping signals. In statistic problems of rough surface optics, the use of distribution allows to explain some effects, in particular the spectral decomposition of white light observed at grazing angles, and the shift of the maximum specular reflection from the direction of specular luster to the right or left depending on the asymmetry sign.
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光学统计问题中的Gram-Charlier分布
在光学统计问题中评估随机变量分布的性质以及在信号处理领域的现代研究中,人们对使用切比雪夫-隐士函数对信号进行编码和解码很感兴趣,因为信号成分可以用Gram-Charlier分布来描述,它具有普遍的性质,可以代替所有已知的随机变量分布,并且在对称的情况下采用高斯分布的形式。偏态和峰度的一个显著特征是它们的几何解释性质。结果表明,这些参数在译码中的应用使重叠信号的识别成为可能。在粗糙表面光学的统计问题中,使用分布可以解释一些效应,特别是在掠角处观察到的白光的光谱分解,以及根据不对称符号,最大镜面反射从镜面光泽方向向右或向左移动。
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