Nyquist–Shannon sampling theorem
= Nyquist–Shannon sampling theorem
{wiki=Nyquist–Shannon_sampling_theorem}
The Nyquist-Shannon sampling theorem, also known as the Nyquist theorem, is a fundamental principle in the field of signal processing and information theory. It provides a criterion for how often an analog signal must be sampled to be accurately reconstructed from its samples without losing any information.