Fourier series - by Ray Betz: Difference between revisions

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<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = 0 </math>
<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = 0 </math>


So, we can simplify the above two conclusion into one equation.
We can simplify the above two conclusion into one equation.


<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = \sum_{k=-\infty}^\infty T \delta_{k,n} \alpha_k = T \alpha_n </math>
<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = \sum_{k=-\infty}^\infty T \delta_{k,n} \alpha_k = T \alpha_n </math>
So, we may conclude
<math>\alpha_n = \frac{1}{T}\int_{-\frac{T}{2}}^\frac{T}{2} x(t) e^ \frac {-j 2 \pi n t}{T} dt </math>
==Orthogonal Functions==

Revision as of 11:11, 16 October 2005

Fourier Series

If

  1. x(t)=x(t+T)
  2. Dirichlet conditions satisfied

then we can write

x(t)=k=αkej2πktT

The above equation is called the complex fourier series. Given x(t), we may determine αk by taking the inner product of αk with x(t). Let us assume a solution for αk of the form ej2πntT. Now we take the inner product of αk with x(t). <αk|x(t)>=<ej2πntT|k=αkej2πktT> =T2T2x(t)ej2πntTdt =T2T2k=αkej2πktTej2πntTdt =k=αkT2T2ej2π(kn)tTdt

If k=n then,

k=αkT2T2ej2π(kn)tTdt=T2T21dt=T

If k;n then,

k=αkT2T2ej2π(kn)tTdt=0

We can simplify the above two conclusion into one equation.

k=αkT2T2ej2π(kn)tTdt=k=Tδk,nαk=Tαn

So, we may conclude αn=1TT2T2x(t)ej2πntTdt

Orthogonal Functions