Passage of stationary processes through linear and non-linear devices

A. Siegert
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引用次数: 22

Abstract

Many problems in the theory of noise and other random functions can be formulated as the problem of finding the probability distribution of the functional $u = \int\limits^\infty_0 K(t') \, V\, (X (t'))dt'$ where K(t) and V(x) are known functions and x(t) is a random function of known statistical properties. The problem of finding the probability distribution of the noise output of a receiver consisting of a filter, a detector, and a second filter is of this type. Methods will be discussed which have led to solutions of this problem in some special cases. In the case of multidimensionally Markoffian x(t) the problem will be shown to be equivalent to an integral equation, which in many cases of interest reduces to a differential equation.
通过线性和非线性装置的平稳过程
噪声和其他随机函数理论中的许多问题可以表述为寻找函数$u = \int\limits^\infty_0 K(t') \, V\, (X (t'))dt'$的概率分布问题,其中K(t)和V(x)是已知函数,x(t)是已知统计性质的随机函数。寻找由滤波器、检测器和第二个滤波器组成的接收器的噪声输出的概率分布的问题就是这种类型的。本文将讨论在某些特殊情况下解决这一问题的方法。在多维马尔可夫函数x(t)的情况下,这个问题将被证明是等价于一个积分方程,在许多感兴趣的情况下,它被简化为一个微分方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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