Fourier Series

Submitted by tushar pramanick on Tue, 09/20/2011 - 18:18

4. FOURIER SERIES

Any periodic function or waveform can be representing as a (possibly infinite) sum of sine and cosine functions. This type of representation is called Fourier series. It is analogous to a Taylor series, which represents functions as possibly infinite sums of monomial terms.

[tex]f(x) = \frac{a_0}{2} + \sum_{k=1}^{\infty} a_k \cos \frac{2 \pi k x}{T}  + \sum_{k=1}^{\infty} b_k \sin \frac{2 \pi k x}{T} ,[/tex]

 

[tex]a_k =  \frac{2}{T} \int_0^T f(x) \cos \frac{2 \pi k x}{T}\:dx, \quad b_k = \frac{2}{T} \int_0^T f(x) \sin \frac{2 \pi k x}{T}\:dx[/tex]

Contents

4.     FOURIER SERIES
  4.1   Trigonometric Fourier Series
  4.2   Evaluation of Fourier Coefficients
  4.3   Waveform Symmetry
  4.4   Fourier Series in Optimal Sense
  4.5   Exponential Form of Fourier Series
  4.6   Fourier Transform