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A 8tudy on the Joint Probability Distribution of Two Random Intensity Variables for the Gaussian Random Wave in the Multidimensional Signal Space

机译:多维信号空间中高斯随机波两个随机强度变量联合概率分布的研究

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摘要

In the present paper,our attention is focused on finding out how the actualrandom variation itself in time is expressed quantitatively for the randomintensity fluctuation. When we observe simuItaneously one or more noisefluctuations having random phases at two or more different observationpoints with differences in time, position, frequency or propagation constant,we need to consider the joint probability distribution density of the intensityof the multiple correlative random noise variables. We must call our attentionto the fact that the joint moments of high orders give the general correlationof high orders among the multiple correlative random noise variables in theabove,e. g. usual linear correlation is reflected in af irst-order joint moment.From this point of view,an explicit expression of joint gamma probabilitydistribution density for two random intensity fluctuations, after passingthrough am ean squaring circuit and a rectangular band-pass filter,is theoretical1y derived for the white noise in connection with an experimentalconsideration.The statistical method described in this paper seems to be applicable alsoto other wide fields of measurement on random phenomena because of itsgenerality.
机译:在本文中,我们的注意力集中在发现随机强度波动如何定量地表达实际的随机变化本身。当我们同时观察两个或多个不同观测点上具有随机相位,时间,位置,频率或传播常数不同的一个或多个具有随机相位的噪声波动时,我们需要考虑多个相关随机噪声变量强度的联合概率分布密度。我们必须引起注意的是,在上述多个相关随机噪声变量中,高阶的联合矩给出了高阶的一般相关性。 G。通常,线性相关性反映在第一阶关节矩上。从这个角度出发,理论上推导了经过随机平方和矩形带通滤波器的两个随机强度涨落的联合伽马概率分布密度的明确表示。本文所描述的统计方法由于其一般性,似乎也适用于随机现象的其他广泛测量领域。

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