The Nyquist Criterion is a principle used in signal processing that provides a guideline for sampling signals to avoid aliasing. It states that to accurately capture a continuous signal without losing information, it must be sampled at least twice the highest frequency present in the signal. This concept is crucial when working with discrete signals, especially in the context of analyzing their frequency components using techniques like the Discrete Fourier Transform.
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