Nyquist Theorem
<communications> A theorem stating that when an analogue waveform is
digitised, only the frequencies in the waveform below half the sampling
frequency will be recorded. In order to reconstruct (interpolate) a signal from
a sequence of samples, sufficient samples must be recorded to capture the peaks
and troughs of the original waveform. If a waveform is sampled at less than
twice its frequency the reconstructed waveform will effectively contribute only
noise. This phenomenon is called "aliasing" (the high frequencies are "under an
alias").
This is why the best digital audio is sampled at 44,000 Hz - twice the average
upper limit of human hearing.
The Nyquist Theorem is not specific to digitised signals (represented by
discrete amplitude levels) but applies to any sampled signal (represented by
discrete time values), not just sound.
Nyquist
(the man, somewhat inaccurate).
(2003-10-21)
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