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Description
The Nyquist–Shannon sampling theorem is a theorem in the field of signal processing which serves as a fundamental bridge between continuous-time signals and discrete-time signals. Nyquist's theorem states that a periodic signal must be sampled at more than twice the highest frequency component of the signal. In practice, because of the finite time available, a sample rate somewhat higher than this is necessary. A sample rate of 4 per cycle at oscilloscope bandwidth would be typical.

Nyquist Theorem

anonymous 7 June 2010

A principle used by engineers when designing equipment for the digitization of analog signals. Due to the complex nature of sampling audio, the theory states that for any given sample rate, the maximum bandwidth of the analog source must fall below one half the sampling frequency. If this formula is not followed, errors in the form of aliasing will be introduced into the data file.

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