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Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means

机译:高斯与平稳过程中零交叉的零相关互相关

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Zero crossing data contain information of a process in compact form and is therefore of interest in wireless sensor networks where only reduced amounts of data can be transmitted. When analyzing the properties of certain algorithms using zero crossing data, the cross-covariance between the zero crossing rates of two jointly Gaussian and stationary processes is needed. The evaluation of such a cross-covariance is considered in the paper and an exact numerical expression as well as an asymptotic expression are presented.
机译:过零数据包含紧凑形式的过程信息,因此在只能传输少量数据的无线传感器网络中会引起关注。当使用零交叉数据分析某些算法的属性时,需要两个联合高斯过程和平稳过程的零交叉率之间的互协方差。本文考虑了这种互协方差的评估,并给出了精确的数值表达式和渐近表达式。

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