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Asymptotic analysis of estimated cyclic cross-correlation function between stationary and cyclostationary processes

机译:平稳和循环平稳过程之间的估计循环互相关函数的渐近分析

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The cyclic cross-correlation between a stationary process and a cyclosrationary process at cycle frequency α(≠ 0) is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method performs much better than the conventional cross-correlation method in suppressing the stationary noise orinterference. But unfortunately, the cyclic cross-correlation will not really approach zero due to the limited data length in some real conditions. In this paper, the quantitative relation between the data length and the estimated cyclic cross-correlation is deduced, and some useful conclusions are drawn, which are proven by some computer simulations. The conclusion in this paper is really useful for the practical application of cyclostationary signal processing.
机译:在理想条件下,周期频率为α(≠0)的平稳过程与循环平稳过程之间的循环互相关为零,这表明循环互相关方法在抑制噪声方面比常规互相关方法要好得多。平稳的噪音或干扰。但是不幸的是,由于在某些实际条件下数据长度有限,因此循环互相关将不会真正接近零。本文推导了数据长度与估计的循环互相关之间的定量关系,并得出了一些有用的结论,并通过计算机仿真证明了这一点。本文的结论对于循环平稳信号处理的实际应用是非常有用的。

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