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== Question 3. ==
 
== Question 3. ==
 
* An LTI system has unit impulse response h[n] =u[-n]. Compute the system's response to the input <math>x[n] = 2^{n}u[-n].</math> Simplify your answer until all <math> \sum</math> signs disappear.)
 
* An LTI system has unit impulse response h[n] =u[-n]. Compute the system's response to the input <math>x[n] = 2^{n}u[-n].</math> Simplify your answer until all <math> \sum</math> signs disappear.)
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== Answer ==
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<math> y[n] = x[n] * h[n] , where * is convolution/,</math>
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<math> = \sum^{\infty}_{k=-\infty} 2^{k}u[-k]u[-n+k]</math>
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<math> = \sum^{0}_{k=-\infty} 2^{k}u[-n+k]</math>
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<math> = \sum^{0}_{k=n} 2^{k}</math>
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<math> = \sum^{-n}_{0} \frac{1}{2}^{k},</math> for n=<0 <br>
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<math> = 0                            ,</math>for n>0<br>
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<math> =\frac{1-\frac{1}{2}^{-n+1}}{1-\frac{1}{2}}</math>for n=<0 <br>
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<math> = 0,                            </math>for n>0<br>
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<math> =(2-2^{n})u[-n]</math><br>

Latest revision as of 14:31, 10 October 2008

Question 3.

  • An LTI system has unit impulse response h[n] =u[-n]. Compute the system's response to the input $ x[n] = 2^{n}u[-n]. $ Simplify your answer until all $ \sum $ signs disappear.)


Answer

$ y[n] = x[n] * h[n] , where * is convolution/, $

$ = \sum^{\infty}_{k=-\infty} 2^{k}u[-k]u[-n+k] $

$ = \sum^{0}_{k=-\infty} 2^{k}u[-n+k] $

$ = \sum^{0}_{k=n} 2^{k} $

$ = \sum^{-n}_{0} \frac{1}{2}^{k}, $ for n=<0
$ = 0 , $for n>0

$ =\frac{1-\frac{1}{2}^{-n+1}}{1-\frac{1}{2}} $for n=<0
$ = 0, $for n>0

$ =(2-2^{n})u[-n] $

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Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

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