(FOURIER SERIES)
(FOURIER SERIES)
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Now, we can use the same process to find <math>a_k\!</math>  However, the most efficient way to solve for the coefficients is to use complex identities.  First, we must consider the following complex identities.
 
Now, we can use the same process to find <math>a_k\!</math>  However, the most efficient way to solve for the coefficients is to use complex identities.  First, we must consider the following complex identities.
  
<math>sin(t)\!</math>
+
<math>sin(t) = \frac{e^{jt}-e^{-jt}}{2j}\!</math>
 +
<br>
 +
 
 
STILL UNDER CONSTRUCTION
 
STILL UNDER CONSTRUCTION

Revision as of 11:21, 25 September 2008

CT SIGNAL

I chose the signal: f(t) = (3+j)cos(2t) + (10+j)sin(7t)

FOURIER SERIES

In order to find the fourier series coefficients, we must first understand the operations associated with taking the fourier transform of a signal. The fundamental period of the signal (above) is 2$ \pi\! $. We know that $ \omega_0\! $ = 2$ \pi / T\! $ (where T is the fundamental period). Therefore, the fundamental frequency is $ 1\! $.


We know that: $ x(t)=\sum_{k=-\infty}^{\infty}a_ke^{jk\omega_0t} $ where $ a_k=\frac{1}{T}\int_0^Tx(t)e^{-jk\omega_0t}dt $.


$ a_0=\frac{1}{2\pi}\int_0^{2\pi}[(3+j)cos(2t) + (10+j)sin(7t)]e^{0}dt $

$ a_0=\frac{1}{2\pi}[\frac{(3+j)sin(2t)}{2} + \frac{-(10+j)cos(7t)}{7}]_0^{2\pi} $


$ a_0=\frac{1}{2\pi}[\frac{-(10+j)}{7} - \frac{-(10+j)}{7}] $


$ a_0 = 0\! $


Now, we can use the same process to find $ a_k\! $ However, the most efficient way to solve for the coefficients is to use complex identities. First, we must consider the following complex identities.

$ sin(t) = \frac{e^{jt}-e^{-jt}}{2j}\! $

STILL UNDER CONSTRUCTION

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Recent Math PhD now doing a post-doctorate at UC Riverside.

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