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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 series]]
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[[Category:signals and systems]]
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== Example of Computation of Fourier series of a CT SIGNAL ==
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A [[Signals_and_systems_practice_problems_list|practice problem on "Signals and Systems"]]
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----
 
The function y(t) in this example is the periodic continuous-time signal cos(t) such that
 
The function y(t) in this example is the periodic continuous-time signal cos(t) such that
  
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With this information it is possible to determine the first fiew coefficients of the Fourier series of the signal, as seen below.
 
With this information it is possible to determine the first fiew coefficients of the Fourier series of the signal, as seen below.
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Also noting that
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<math>
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\cos(t) = \frac{e^{jt} - e^{-jt}}{2}
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</math>
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then the solution for solving the coefficients becomes
  
 
<math>
 
<math>
\ a_1 = \frac{1}{2\pi}\int_{0}^{2\pi} \left (-1 \right )
+
\ a_k = \frac{1}{2\pi}\int_{0}^{2\pi} \frac{e^{jt} - e^{-jt}}{2}e^{-jkt}\, dt
\frac{t^{2}}{ \left(2 \right )!}e^{-jt}\, dt
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</math>
 
</math>
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----
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[[Signals_and_systems_practice_problems_list|Back to Practice Problems on Signals and Systems]]

Latest revision as of 11:07, 16 September 2013


Example of Computation of Fourier series of a CT SIGNAL

A practice problem on "Signals and Systems"


The function y(t) in this example is the periodic continuous-time signal cos(t) such that

$ y(t) = \ cos(t) $

where cos(t) can be expressed by the Maclaurin series expansion

$ \ cos(t) = \sum_{k=0}^\infty \left (-1 \right )^k \frac{t^{2k}}{ \left(2k \right )!} $

and its Fourier series coefficients are described by the equations below.

$ \ a_k = \frac{1}{T}\int_{0}^{T} y(t)e^{-jk\omega_0t}\, dt $

$ \omega_0 = \frac{2\pi}{T} = 1 $

With this information it is possible to determine the first fiew coefficients of the Fourier series of the signal, as seen below.

Also noting that

$ \cos(t) = \frac{e^{jt} - e^{-jt}}{2} $

then the solution for solving the coefficients becomes

$ \ a_k = \frac{1}{2\pi}\int_{0}^{2\pi} \frac{e^{jt} - e^{-jt}}{2}e^{-jkt}\, dt $


Back to Practice Problems on Signals and Systems

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva