Shannon's Sampling Theorem states that a continuous signal can be completely represented by its samples and fully reconstructed if it is sampled at a rate greater than twice the highest frequency present in the signal. This principle is essential in the fields of quantization and analog-to-digital conversion, ensuring that signals can be accurately captured and transmitted without losing information.
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