eFunda: Introduction to Aliasing
 Under Sampling and Aliasing
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 Under Sampling When the sampling rate is lower than or equal to the Nyquist rate, a condition defined as under sampling, it is impossible to rebuild the original signal according to the sampling theorem. An example is illustrated below, where the reconstructed signal built from data sampled at the Nyquist rate is way off from the original signal. Aliasing Under sampling causes frequency components that are higher than half of the sampling frequency to overlap with the lower frequency components. As a result, the higher frequency components roll into the resconstructed signal and cause distortion of the signal. This type of signal distortion is called aliasing. The schematic below repeats the above aliasing argument in the frequency domain. Spectrum of Sampled SignalSampled at less than the Nyquist rate