ASN2 - Something Interesting: Exponential: Difference between revisions

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


To solve a Fourier series equation for the coefffients <math> a_n \!</math> using the above expressions result in similar solutions but using the eponetial basis function is simplier to solving. To find the coefficients perform the dot product ' '''.''' ' operation of the basis function with <math> x(t) \!</math>
To solve a Fourier series equation for the coefffients <math> a_n \!</math> using the above expressions result in similar solutions but using the eponetial basis function is simplier to solving. To find the coefficients perform the dot product ' '''.''' ' as follows.


Using exponential basis function
Using exponential basis function

Latest revision as of 21:52, 13 December 2009

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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 but using the eponetial basis function is simplier to solving. To find the coefficients perform the dot product ' . ' as follows.

Using exponential basis function

.

Then the result is

Using cosine basis function

. At this point you should use a trig identity

applying this trig identity gives

Then the result is