Nyquist–Shannon sampling theorem

Advanced search

About 5 results found and you can help!

Fig. 5: Subsampled image showing a Moiré pattern

The Nyquist–Shannon sampling theorem, after Harry Nyquist and Claude Shannon, in the literature more commonly referred to as the Nyquist sampling theorem or simply as the sampling theorem, is a fundamental result in the field of information theory, in particular telecommunications and signal processing. Sampling is the process of converting a signal (for example, a function of continuous time or space) into a numeric sequence (a function of discrete time or space). Shannon's version of the theorem states:

• See also: Wikipedia

• Related: Nyquist ISI criterion, Hartley's law, Zero-order hold, Balian–Low theorem

Learning by Simulations Learning by Simulations www.vias.org/simulations/simusoft_nykvist.html - Web

Undersampling and an application of it Undersampling and an application of it spazioscuola.altervista.org/.../UndersamplingARnv.htm - Web

Sampling Theory For Digital Audio Sampling Theory For Digital Audio www.lavryengineering.com/documents/Sampling_Theory.pdf - Web

[Add/rearrange links]

Gallery for «Nyquist–Shannon sampling theorem»

• 

Average relevance

Journal devoted to Sampling Theory Journal devoted to Sampling Theory www.stsip.org - Web

Sampling Theorem with Constant Amplitude Variable ... Sampling Theorem with Constant Amplitude Variable Width Pulse ieeexplore.ieee.org/.../login.jsp?tp=&arnumber=5699377&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5699377 - Web

[Add/rearrange links]

This results page includes content from Wikipedia which is published under CC BY-SA.