ASN2 - Something Interesting: Exponential: Difference between revisions

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Using cosine to represent the basis functions
Using cosine to represent the basis functions
<math> x(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>


Using an exponential to represent basis functions
Using an exponential to represent basis functions
<math> x(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>


To obtain the coefffients <math> a_n \!</math> the solutions are almost identical. The benefit of using the eponetial funtion is that mathematical it is simplier for solving than using the cosine function.
To solve for the coefffients <math> a_n \!</math> 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 perform the dot product

<math> x2(t)= \sum_{n=0}^\infty a_n e^{\frac{ j2 \pi nt}{T}} \!</math>

Revision as of 07:54, 3 December 2009

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Fourier Series

Using cosine to represent the basis functions

Using an exponential to represent basis functions

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 perform the dot product