采样序列曲线的周期和信号重构

M. Rupniewski
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引用次数: 2

摘要

一个周期信号的有限等距样本序列(一个样本序列)可以用多维空间中的一个点来识别。这个点取决于被采样的信号、采样周期和序列的开始时间。如果起始时间变化,则对应点沿闭合曲线移动。我们证明了这样一条曲线,即给定长度的所有采样序列的集合,在采样周期已知的情况下,决定了采样信号的周期。即使火车很短,如果包含火车的样本以低于奈奎斯特的速率采集,这也是正确的。利用庞加莱的旋转数理论证明了上述结果。我们还证明了在采样周期与信号周期之比不合理的情况下,采样序列的曲线决定了采样信号的时移。最后,我们给出了一个例子,表明不能放弃周期不可通约性的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Period and signal reconstruction from the curve of trains of samples
A finite sequence of equidistant samples (a sample train) of a periodic signal can be identified with a point in a multi-dimensional space. Such a point depends on the sampled signal, the sampling period, and the starting time of the sequence. If the starting time varies, then the corresponding point moves along a closed curve. We prove that such a curve, i.e., the set of all sample trains of a given length, determines the period of the sampled signal, provided that the sampling period is known. This is true even if the trains are short, and if the samples comprising trains are taken at a sub-Nyquist rate. The presented result is proved with a help of the theory of rotation numbers developed by Poincar\'e. We also prove that the curve of sample trains determines the sampled signal up to a time shift, provided that the ratio of the sampling period to the period of the signal is irrational. Eventually, we give an example which shows that the assumption on incommensurability of the periods cannot be dropped.
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