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Theory: Sampling Theorem & Nyquist Frequency [closed]

Tags:

math

theory

i've got a problem with the sampling theorem

Sampling theorem states that a signal can be reconstructed exactly from it's samples if the original signal has no frequencies above half the sampling frequency.

But what about frequencies exactly half the sampling frequency?? let's say i sample a sine (with an arbitrary phase and amplitude) with a frequency exactly double the sine frequency. I will be unable to reconstruct the phase and the amplitude of the sine because i don't know how the phase shifted the sine in relation to my samples (for example, if i happen to sample exactly on the zero-crossings of the sine, my samples will all be zero).

what's the solution to that problem?

like image 619
genesys Avatar asked Feb 10 '10 22:02

genesys


1 Answers

Check this: http://en.wikipedia.org/wiki/Nyquist_rate#Nyquist_rate_relative_to_sampling It's clearly stated that the sampling rate should exceed the Nyquist rate, which is double the highest frequency component.

like image 186
Ahmed Abdelkader Avatar answered Oct 05 '22 03:10

Ahmed Abdelkader