The theory of symmetrical function is used to suppress additive stationary random noise; assumption is that the signal and the noise are mutually uncorrelated.

文中利用对称相关函数理论，分析了抵消平稳随机过程中与信号不相关的加性随机噪声的机理，并应用于线谱信号检测。

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As for a random signal, self-correlated function can always be the integrate token of its statistic average value.

对于一个随机信号，自相关函数往往最能完整地表征它的统计平均值。

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In this paper, it is proved that the polar signal obtained from the symbolization of an ergodic random signal is stationary and that the autocorrelation function of the polar signal is ergodic.

本文证明了各态历经的随机信号经符号化处理后，得到的极性信号是干稳的，极性相关函数是各态历经的。

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