(New page: = Practice Question 4, ECE438 Fall 2010, Prof. Boutin = Frequency domain view of filtering. Note: There is a very high chance of a question like this on the final. -...)
 
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Note: There is a very high chance of a question like this on the final.
 
Note: There is a very high chance of a question like this on the final.
 
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Define a signal x(t) and take samples every T starting from t=0 (using a specific value of T). Store the samples in a discrete signal z[n]. Obtain a mathematical expression for the  Fourier transform of x(t) and sketch it. Obtain a mathematical expression for the  Fourier transform of y[n] and sketch it.  
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Define a signal x(t) and take samples every T starting from t=0 (using a specific value of T). Store the samples in a discrete-time signal z[n]. Obtain a mathematical expression for the  Fourier transform of x(t) and sketch it. Obtain a mathematical expression for the  Fourier transform of y[n] and sketch it.  
  
 
Let's hope we get a lot of different signals from different students!
 
Let's hope we get a lot of different signals from different students!

Revision as of 16:20, 19 October 2010

Practice Question 4, ECE438 Fall 2010, Prof. Boutin

Frequency domain view of filtering.

Note: There is a very high chance of a question like this on the final.


Define a signal x(t) and take samples every T starting from t=0 (using a specific value of T). Store the samples in a discrete-time signal z[n]. Obtain a mathematical expression for the Fourier transform of x(t) and sketch it. Obtain a mathematical expression for the Fourier transform of y[n] and sketch it.

Let's hope we get a lot of different signals from different students!


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