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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 19:51, 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.
