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===Answer 1===
 
===Answer 1===
Write it here.
+
 
 +
Gena Xie
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<math>X(z) = e^{-2z}. \</math>
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By Taylor Series,
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<math>X(z) = e^{-2z} = \sum_{n=0}^{+\infty}{\frac{{-2z}^n}{n!}}<\math>
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substitute n by -n
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<math>X(z) = \sum_{-\infty}^{n=0){\frac{{-2}^-n}{{-n!}}}{z^{-n}} = \sum_{-\infty}^{+\infty){\frac{{-2}^-n}{{-n!}}}u[-n]{z^{-n}}<\math>
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based on the definition,
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<math>X(z) = \frac{{-2}^-n}{{-n!}}}u[-n]
 
=== Answer 2===
 
=== Answer 2===
 
Write it here.
 
Write it here.

Revision as of 15:09, 19 September 2013


Practice Question, ECE438 Fall 2013, Prof. Boutin

On computing the inverse z-transform of a discrete-time signal.


Compute the inverse z-transform of

$ X(z) = e^{-2z}. \ $

(Write enough intermediate steps to fully justify your answer.)


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Answer 1

Gena Xie

$ X(z) = e^{-2z}. \ $

By Taylor Series,

$ X(z) = e^{-2z} = \sum_{n=0}^{+\infty}{\frac{{-2z}^n}{n!}}<\math> substitute n by -n <math>X(z) = \sum_{-\infty}^{n=0){\frac{{-2}^-n}{{-n!}}}{z^{-n}} = \sum_{-\infty}^{+\infty){\frac{{-2}^-n}{{-n!}}}u[-n]{z^{-n}}<\math> based on the definition, <math>X(z) = \frac{{-2}^-n}{{-n!}}}u[-n] === Answer 2=== Write it here. ===Answer 3=== Write it here. ===Answer 4=== Write it here. ---- ---- [[2013_Fall_ECE_438_Boutin|Back to ECE438 Fall 2013 Prof. Boutin]] $

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