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Now we try to collect terms in order to attempt to make the problem resemble the mentioned format:
 
Now we try to collect terms in order to attempt to make the problem resemble the mentioned format:
  
:<math>(1 - \frac{3}{4}e^{-jw} + \frac{1}{8}e^{-2jw})Y(w) = 2X(w)</math>
+
:<math>(1 - \frac{3}{4}e^{-jw} + \frac{1}{8}e^{-2jw})Y(w) = 2X(w)\,</math>
 +
 
 +
Solve for Y(w):
 +
 
 +
:<math>Y(w) = \frac{2}{(1 - \frac{3}{4}e^{-jw} + \frac{1}{8}e^{-2jw})}X(w)</math>

Revision as of 09:46, 24 October 2008

If we were asked to compute the frequency response, one thing that we need to keep in mind is that, no matter how complexed the problem might look, we have to somehow arrange it into $ Y(w) = H(w)X(w) $ format. Obviously, $ H(w) $ is the frequency response. The following example would illustrate this:

Find the frequency response of: $ y[n] - \frac{3}{4}y[n-1] + \frac{1}{8}y[n-2] = 2x[n] $

First, we do the Fourier transform on both sides, which yields:

$ Y(w) - \frac{3}{4}e^{-jw}Y(w) + \frac{1}{8}e^{-2jw}Y(w) = 2X(w)\, $

Now we try to collect terms in order to attempt to make the problem resemble the mentioned format:

$ (1 - \frac{3}{4}e^{-jw} + \frac{1}{8}e^{-2jw})Y(w) = 2X(w)\, $

Solve for Y(w):

$ Y(w) = \frac{2}{(1 - \frac{3}{4}e^{-jw} + \frac{1}{8}e^{-2jw})}X(w) $

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BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman