ASN2 - Something Interesting: Exponential: Difference between revisions
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Here's an demonstration of using the expontential function in an Fourier Series example. |
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Fourier Series |
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One way of representing a basis function is with cosine. |
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Using cosine to represent the basis functions |
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<math> x1(t)= \sum_{n=0}^\infty a_n cos(\frac{ 2 \pi nt}{T}) \!</math> |
<math> x1(t)= \sum_{n=0}^\infty a_n cos(\frac{ 2 \pi nt}{T}) \!</math> |
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However, a more convient way is using an exponential funtion. |
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Using an exponential to represent basis functions |
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<math> x1(t)= \sum_{n=0}^\infty a_n e^{\frac{ j2 \pi nt}{T}} \!</math> |
<math> x1(t)= \sum_{n=0}^\infty a_n e^{\frac{ j2 \pi nt}{T}} \!</math> |
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Revision as of 19:54, 13 December 2009
Here's an demonstration of using the expontential function in an Fourier Series example.
One way of representing a basis function is with cosine.
However, a more convient way is using an exponential funtion.
To solve for the coefffients the solutions for both are almost identical. The benefit of using the eponetialinstead of cosine is that mathematical it is simplier for solving.
To solve for the coefficients do the dot product ' . ' of the basis function and
.
Then
. At this point you should use a trig identity
applying this trig identity gives
Then