sampling theorem
A fundamental theorem in signal processing stating that a continuous signal can be perfectly reconstructed from its samples if the sampling frequency is greater than twice the highest frequency component of the signal. Also known as the Nyquist–Shannon sampling theorem.
According to the sampling theorem, to reconstruct the original signal, the sampling frequency must be at least twice the highest frequency of the signal.