Aliasing has the effect of introducing frequencies into your data that didn't exist in the real-world signal (and removing some that did), thereby severely distorting your signal.

伪信号将频率有效的引入到你采集的现实信号中不存在数据中(和消除一些数据)，从而严重扭曲了原始信号。

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For bandpass signal under digital quadrature sampling, there is spectrum shifting. Although the sampling frequency satisfies the sampling theorem, it may cause spectrum aliasing.

在数字正交采样中，带通信号存在频谱迁移问题，虽然满足带通信号的采样定理，仍可能产生频谱混叠。

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Aliasing, while not intuitive, is easy to observe (see Figure 10.24). If we sample 8.5 times slower (the circles), our reconstructed signal looks nothing like the original.

伪信号，如果采样率慢于某一周期的8.5倍(见图10.24)，那么显而易见我们的重建信号与原始信号直观上一点都不像。

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