Line 12: Line 12:
 
</math>
 
</math>
  
and its Fourier series coefficients are described by the equation
+
and its Fourier series coefficients are described by the equations below.
  
 
<math>
 
<math>
Line 20: Line 20:
 
<math>
 
<math>
 
\omega_0 = \frac{2\pi}{T} = 1
 
\omega_0 = \frac{2\pi}{T} = 1
 +
</math>
 +
 +
With this information it is possible to determine the first fiew coefficients of the Fourier series of the signal, as seen below.
 +
 +
<math>
 +
\ a_1 = \frac{1}{2\pi}\int_{2\pi}^{\infty} y(t)e^{-j\omega_0t}\, dt
 
</math>
 
</math>

Revision as of 13:40, 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_{n=0}^\infty \left (-1 \right )^n \frac{t^{2n}}{ \left(2n \right )!} $

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

$ \ a_k = \frac{1}{T}\int_{T}^{\infty} 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.

$ \ a_1 = \frac{1}{2\pi}\int_{2\pi}^{\infty} y(t)e^{-j\omega_0t}\, dt $

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett