Nyquist theorem

E166675 UNEXPLORED

The Nyquist theorem is a fundamental principle in signal processing that states a continuous signal can be perfectly reconstructed from its samples if it is sampled at more than twice its highest frequency component.

Aliases (1)

Nyquist–Shannon sampling theorem ×1

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

fluctuation–dissipation theorem → isRelatedTo → Nyquist theorem →

Harry Nyquist → notableWork → Nyquist theorem →

this entity surface form: "Nyquist–Shannon sampling theorem"