(New page: <math>X(\omega) = 2\pi e^{4j\omega}\,</math> We kenw that the Fourier transformation of <math>x(t - t_o)\,</math> is equal to <math>e^{-j\omega t_o} X(\omega)\,</math> Using this propert...)
 
 
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[[Category:problem solving]]
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[[Category:ECE301]]
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[[Category:ECE]]
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[[Category:Fourier transform]]
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[[Category:inverse Fourier transform]]
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[[Category:signals and systems]]
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== Example of Computation of inverse Fourier transform (CT signals) ==
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A [[CT_Fourier_transform_practice_problems_list|practice problem on CT Fourier transform]]
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<math>X(\omega) = 2\pi e^{4j\omega}\,</math>
 
<math>X(\omega) = 2\pi e^{4j\omega}\,</math>
  
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<math>x(t) = \delta(t+4)\,</math>
 
<math>x(t) = \delta(t+4)\,</math>
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[[CT_Fourier_transform_practice_problems_list|Back to Practice Problems on CT Fourier transform]]

Latest revision as of 11:42, 16 September 2013

Example of Computation of inverse Fourier transform (CT signals)

A practice problem on CT Fourier transform



$ X(\omega) = 2\pi e^{4j\omega}\, $

We kenw that the Fourier transformation of $ x(t - t_o)\, $ is equal to $ e^{-j\omega t_o} X(\omega)\, $

Using this property, we can solve the question

$ X(\omega) = 2\pi e^{4j\omega} Y(\omega)\, $ where $ Y(\omega) = 1\, $

$ y(t) = \delta(t)\, $

$ x(t) = \frac{1}{2\pi} \int^{\infty}_{-\infty}2\pi e^{4j\omega} Y(\omega) dw\, $

$ x(t) = \int^{\infty}_{-\infty}e^{4j\omega} Y(\omega) dw\, $

$ x(t) = \hat{f} (e^{4j\omega } Y(\omega))\, $

$ x(t) = \delta(t+4)\, $



Back to Practice Problems on CT Fourier transform

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

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