Zero-Crossing Rates of Mixtures and Products of Gaussian Processes

J. Barnett, B. Kedem
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引用次数: 22

Abstract

Formulas for the expected zero-crossing rate of non-Gaussian mixtures and products of Gaussian processes are obtained. The approach we take is to first derive the expected zero-crossing rate in discrete time and then obtain the rate in continuous time by an appropriate limiting argument. The processes considered, which are non-Gaussian but derived from Gaussian processes, serve to illustrate the variability of the zero-crossing rate in terms of the normalized autocorrelation function p(t) of the process. For Gaussian processes, Rice's formula gives the expected zero-crossing rate in continuous time as 1//spl pi//spl radic/(-/spl rho/"(0)). We show processes exist with expected zero-crossing rates given by /spl kappa///spl pi//spl radic/(-/spl rho/"(0)) with either /spl kappa//spl Gt/1 or /spl kappa//spl Lt/1. Consequently, such processes can have an arbitrarily large or small zero-crossing rate as compared to a Gaussian process with the same autocorrelation function.
高斯过程的混合物和乘积的过零率
得到了非高斯混合和高斯过程乘积的期望过零率公式。我们采用的方法是首先推导出离散时间的期望过零率,然后通过适当的极限参数得到连续时间的期望过零率。所考虑的过程是非高斯过程,但源于高斯过程,用于说明根据过程的归一化自相关函数p(t)的过零率的可变性。对于高斯过程,Rice的公式给出了连续时间的期望过零率为1//spl pi//spl径向/(-/spl rho/”(0))。我们证明了在/spl kappa//spl pi//spl radic/(-/spl rho/ ' '(0))和/spl kappa//spl Gt/1或/spl kappa//spl Lt/1下存在期望零交叉率的过程。因此,与具有相同自相关函数的高斯过程相比,这种过程可以具有任意大或任意小的过零率。
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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