(38 intermediate revisions by one other user not shown)
Line 1: Line 1:
The function y(t) in this example is the periodic continuous-time signal cos(x) such that
+
[[Category:problem solving]]
 +
[[Category:ECE301]]
 +
[[Category:ECE]]
 +
[[Category:Fourier series]]
 +
[[Category:signals and systems]]
 +
 
 +
== Example of Computation of Fourier series of a CT SIGNAL ==
 +
A [[Signals_and_systems_practice_problems_list|practice problem on "Signals and Systems"]]
 +
----
 +
The function y(t) in this example is the periodic continuous-time signal cos(t) such that
  
 
<math>
 
<math>
 
y(t) =
 
y(t) =
\ cos(x)
+
\ cos(t)
 
</math>
 
</math>
  
where cos(x) can be expressed by the Maclaurin series expansion
+
where cos(t) can be expressed by the Maclaurin series expansion
 +
 
 +
<math>
 +
\ cos(t) = \sum_{k=0}^\infty \left (-1 \right )^k \frac{t^{2k}}{ \left(2k \right )!}
 +
</math>
 +
 
 +
and its Fourier series coefficients are described by the equations below.
 +
 
 +
<math>
 +
\ a_k = \frac{1}{T}\int_{0}^{T} y(t)e^{-jk\omega_0t}\, dt
 +
</math>
 +
 
 +
<math>
 +
\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.
 +
 
 +
Also noting that
  
 
<math>
 
<math>
\ cos(x) = \sum_{n=0}^\infty \left (-1 \right )^n \frac{b^{2n}}{ \left(2n \right )!}
+
\cos(t) = \frac{e^{jt} - e^{-jt}}{2}
 
</math>
 
</math>
  
where its Fourier series coefficients are described by the equation
+
then the solution for solving the coefficients becomes
  
 
<math>
 
<math>
\left ( \frac{1}{jk\omega_0} \right )a_k
+
\ a_k = \frac{1}{2\pi}\int_{0}^{2\pi} \frac{e^{jt} - e^{-jt}}{2}e^{-jkt}\, dt
=
+
\left ( \frac{1}{jk \left (2\pi/T \right)} \right )a_k
+
 
</math>
 
</math>
 +
----
 +
[[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

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010