Signals and systems/GF Fourier: Difference between revisions

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<math> \alpha_m = \frac{1}{T}\int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt </math>
<math> \alpha_m = \frac{1}{T}\int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt </math>


== <math> \left \langle Bra \mid Ket \right \rangle </math> Notation ==
== <math> \left \langle \ Bra \mid Ket \ \right \rangle </math> Notation ==


<math> \left \langle \ n \mid m \ \right \rangle = m \cdot n </math>
<math> \left \langle \ n \mid m \ \right \rangle = m \cdot n </math>

Revision as of 21:48, 29 October 2006

Fourier series

The Fourier series is used to analyze arbitrary periodic functions by showing them as a composite of sines and cosines.

A function is considered periodic if for .

The exponential form of the Fourier series is defined as

Determining the coefficient

  • The definition of the Fourier series

  • Integrating both sides for one period. The range of integration is arbitrary, but using scales nicely when extending the Fourier series to a non-periodic function

  • Multiply by the complex conjugate

    • Using L'Hopitals to evaluate the case. Note that n & m are integers

Notation

Linear Time Invariant Systems

Changing Basis Functions

Identities