Aliasing: Difference between revisions

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Alaising is what occurs when you sample the highest frequency component of a signal less than two times and then are not able to reconstruct the original signal from the sampled data. This is generalized by Nyquists sampling theorem that says the signal must be sampled at a frequency of 1/T > 2*fmax.
Alaising is what occurs when you sample the highest frequency component of a signal less than two times and then are not able to reconstruct the original signal from the sampled data. This is generalized by Nyquists sampling theorem that says the signal must be sampled at a frequency of 1/T > 2*fmax.

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Revision as of 16:46, 10 December 2004

Alaising is what occurs when you sample the highest frequency component of a signal less than two times and then are not able to reconstruct the original signal from the sampled data. This is generalized by Nyquists sampling theorem that says the signal must be sampled at a frequency of 1/T > 2*fmax.

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