Signal sampling records a continuous signal at discrete times. Uniform sampling creates shifted frequency spectra separated by the sample rate; avoiding overlap requires suitable bandwidth limits and an anti-aliasing filter. The Nyquist–Shannon sampling theorem describes exact reconstruction for an ideal band-limited signal.
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Sampling in signal processing refers to the process of converting a continuous-time signal into a discrete-time signal. This is done by measuring the amplitude of the continuous signal at regular intervals, known as the sampling period. The resulting set of sampled values represents the original signal in a form that can be processed, stored, and transmitted by digital systems.