The Sampling Theorem states that a continuous signal can be completely represented by its samples and fully reconstructed from those samples if it is sampled at a rate greater than twice its highest frequency. This theorem is fundamental in signal processing as it lays the groundwork for understanding how signals can be digitized, analyzed, and manipulated while preserving their essential characteristics.
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