Undersampling occurs when a continuous signal is sampled at a rate that is lower than twice its highest frequency, violating the Nyquist theorem. This can lead to a phenomenon known as aliasing, where higher frequency signals are misrepresented as lower frequency signals in the sampled data, causing distortion and loss of information.
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