Signals and systems/GF Fourier: Difference between revisions

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==Determining the coefficient <math> \alpha_n \,</math> ==
==Determining the coefficient <math> \alpha_n \,</math> ==
<math> x(t) = \sum_{n=-\infty}^\infty \alpha_n e^{{j2\pi nt}/T} \, </math> The definition of the Fourier series
<math> \int_{-T/2}^{T/2} x(t)\, dt = \sum_{n=-\infty}^\infty \alpha_n \int_{-T/2}^{T/2} e^{{j2\pi nt}/T} dt</math>


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

Revision as of 21:42, 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 x(t)=x(t+T) for T0.

The exponential form of the Fourier series is defined as x(t)=n=αnej2πnt/T

Determining the coefficient αn

x(t)=n=αnej2πnt/T The definition of the Fourier series

T/2T/2x(t)dt=n=αnT/2T/2ej2πnt/Tdt

BraKet Notation

Linear Time Invariant Systems

Changing Basis Functions

Identities

ejθ=cosθ+jsinθ

sinx=ejxejx2j

cosx=ejx+ejx2

nm=Tδn,m