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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.
 +
 +
Also noting that
  
 
<math>
 
<math>
 +
\cos(t) = \frac{e^{jt} - e^{-jt}}{2}
 +
 
\ a_1 = \frac{1}{2\pi}\int_{0}^{2\pi} \left (-1 \right )
 
\ a_1 = \frac{1}{2\pi}\int_{0}^{2\pi} \left (-1 \right )
 
\frac{t^{2}}{ \left(2 \right )!}e^{-jt}\, dt
 
\frac{t^{2}}{ \left(2 \right )!}e^{-jt}\, dt
 
</math>
 
</math>

Revision as of 13:39, 26 September 2008

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} \ a_1 = \frac{1}{2\pi}\int_{0}^{2\pi} \left (-1 \right ) \frac{t^{2}}{ \left(2 \right )!}e^{-jt}\, dt $

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang