(Sampling Theorem)
(Sampling Theorem)
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<math>x_p(t) = x(t)p(t) </math>
 
<math>x_p(t) = x(t)p(t) </math>
 
[[Image:HAN99_ECE301Fall2008mboutin.JPG]]
 

Revision as of 13:19, 9 November 2008

Sampling Theorem

If the signal is sampled every T seconds, then x(t) can be reconstructed from these samples with no distortion.

period T :sampling interval

p(t) : sampling function

$ \omega_s = \frac{2\pi}{T} : sampling frequency $

$ x_p(t) = x(t)p(t) $

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010