sampling theorem

sampling theorem

[′sam·pliŋ ‚thir·əm] (communications) The theorem that a signal that varies continuously with time is completely determined by its values at an infinite sequence of equally spaced times if the frequency of these sampling times is greater than twice the highest frequency component of the signal. Also known as Shannon's sampling theorem.