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=== Answer 1  ===
 
=== Answer 1  ===
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<math class="inline">{\mathcal X} (\omega) = \sum_{n=-\infty}^\infty x[n]e^{-j\omega n}=\sum_{n=-\infty}^\infty 3^n u[-n]e^{-j\omega n}=\sum_{n=-\infty}^0 3^n e^{-j\omega n}=\sum_{n=-\infty}^0 \Bigg(\frac{3}{e^{j\omega}}\Bigg)^n</math>  Let k=-n
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<math>= \sum_{n=0}^\infty \Bigg(\frac{e^{j\omega}}{3}\Bigg)^k</math>
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<math>\mathcal X (\omega) = \frac{1}{1-\frac{e^{j\omega}}{3}}</math>
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--[[User:Cmcmican|Cmcmican]] 19:42, 28 February 2011 (UTC)
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=== Answer 2  ===
 
=== Answer 2  ===
 
Write it here.
 
Write it here.

Revision as of 15:42, 28 February 2011


Practice Question on Computing the Fourier Transform of a Discrete-time Signal

Compute the Fourier transform of the signal

$ x[n] = 3^n u[-n].\ $


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Answer 1

$ {\mathcal X} (\omega) = \sum_{n=-\infty}^\infty x[n]e^{-j\omega n}=\sum_{n=-\infty}^\infty 3^n u[-n]e^{-j\omega n}=\sum_{n=-\infty}^0 3^n e^{-j\omega n}=\sum_{n=-\infty}^0 \Bigg(\frac{3}{e^{j\omega}}\Bigg)^n $ Let k=-n

$ = \sum_{n=0}^\infty \Bigg(\frac{e^{j\omega}}{3}\Bigg)^k $

$ \mathcal X (\omega) = \frac{1}{1-\frac{e^{j\omega}}{3}} $

--Cmcmican 19:42, 28 February 2011 (UTC)

Answer 2

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Answer 3

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