(New page: Let the signal <math>X(\omega)</math> be equal to: <math>X(\omega) = \delta(\omega) + \delta(\omega - 2) - \delta(\omega - 3) \,</math> The Inverse Fourier Transform of a signal in Cont...)
 
 
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[[Category:problem solving]]
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[[Category:ECE301]]
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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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Let the signal <math>X(\omega)</math> be equal to:
 
Let the signal <math>X(\omega)</math> be equal to:
  
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<math>x(t) = \frac{1}{2\pi}(e^{j\omega t} +e^{j2\omega t} - e^{j3\omega t}) \,</math>
 
<math>x(t) = \frac{1}{2\pi}(e^{j\omega t} +e^{j2\omega t} - e^{j3\omega t}) \,</math>
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[[CT_Fourier_transform_practice_problems_list|Back to Practice Problems on CT Fourier transform]]

Latest revision as of 12:46, 16 September 2013

Example of Computation of inverse Fourier transform (CT signals)

A practice problem on CT Fourier transform



Let the signal $ X(\omega) $ be equal to:

$ X(\omega) = \delta(\omega) + \delta(\omega - 2) - \delta(\omega - 3) \, $


The Inverse Fourier Transform of a signal in Continuous Time is:

$ x(t)=\frac{1}{2\pi}\int_{-\infty}^{\infty}X(\omega)e^{j\omega t}d\omega \, $


Using this, we obtain:

$ x(t)=\frac{1}{2\pi}\int_{-\infty}^{\infty}(\delta(\omega)e^{j\omega t} + \delta(\omega - 2)e^{j\omega t} - \delta(\omega - 3)e^{j\omega t}) d\omega \, $

$ x(t) = \frac{1}{2\pi}(e^{j\omega t} +e^{j2\omega t} - e^{j3\omega t}) \, $


Back to Practice Problems on CT Fourier transform

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