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My definition of the sampling theorem:
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In order to sample a signal that can be recovered back into the original sample, the sampling frequency, <math>\omega_{s}</math> , must be more than twice the highest frequency of the signal, <math>\omega_{m}</math>.
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I got <math>\frac{7}{10}</math> on it because I forgot to say that the signal must be band limited.

Revision as of 20:51, 1 May 2008

What I wrote on my Exam (and how many points I got)

The sampling theorem states that for a signal x(t) to be uniquely reconstructed, its X(jw) = 0 when |w| > wm, and the sampling frequency, ws, must be greater than 2wm


I got a 7/10 on this because I did not say what it is being reconstructed from. Also I used w because I did not know how to type omega in this file.


My Definition:


A signal can be recovered from sampling if

  • The Signal is bandlimited and the Sample Frequency ($ \omega_s $) is greater than $ 2\omega_{max} $ (maximum frequency)


                    $ \omega_{s}>2\omega_{max} $  


Recieved 9/10 Points because it is not clear if I meant $ 2\omega_{max} $ or $ \omega_{max} $ is the maximum frequency


My definition of the sampling theorem:

In order to sample a signal that can be recovered back into the original sample, the sampling frequency, $ \omega_{s} $ , must be more than twice the highest frequency of the signal, $ \omega_{m} $.

I got $ \frac{7}{10} $ on it because I forgot to say that the signal must be band limited.

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood