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。
2
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。
3
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.