The Nyquist Theorem states that in order to accurately reconstruct a continuous signal from its samples, the sampling rate must be at least twice the highest frequency present in the signal. This concept is crucial in signal processing and helps prevent aliasing, ensuring that important data is not lost during the sampling process.
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