ASN2 - Something Interesting: Exponential: Difference between revisions
Jump to navigation
Jump to search
Jodi.Hodge (talk | contribs) No edit summary |
Jodi.Hodge (talk | contribs) No edit summary |
||
Line 2: | Line 2: | ||
Here's an demonstration of using the expontential function in |
Here's an demonstration of using the expontential function in a Fourier Series example. |
||
One way of representing a basis function is with cosine |
One way of representing a basis function is with cosine <math> cos(\frac{ 2 \pi nt}{T}) \!</math> |
||
. |
|||
⚫ | |||
Where the Fourier series is <math> x1(t)= \sum_{n=0}^\infty a_n cos(\frac{ 2 \pi nt}{T}) \!</math> |
|||
However, a more convient way is using an exponential funtion. |
However, a more convient way is using an exponential funtion <math> e^{\frac{ j2 \pi nt}{T}} \!</math>. |
||
⚫ | |||
⚫ | |||
⚫ | |||
⚫ | |||
⚫ | |||
⚫ | |||
Revision as of 20:10, 13 December 2009
Here's an demonstration of using the expontential function in a Fourier Series example.
One way of representing a basis function is with cosine . Where the Fourier series is
However, a more convient way is using an exponential funtion .
To solve a Fourier series equation for the coefffients using the above expressions result in similar solutions. The perfered method of solving is to use the eponetial basis function because for is that mathematical it is simplier for solving.
The procedure to solve for the coefficients is to perform the dot product ' . ' operation of the basis function with
.
Then
. At this point you should use a trig identity
applying this trig identity gives
Then