Signals and systems/GF Fourier

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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 Integrating both sides for one period. The range of integration is arbitrary, but using T/2T/2 scales nicely when extending the Fourier series to a non-periodic function

T/2T/2x(t)ej2πmt/Tdt=n=αnT/2T/2ej2πnt/Tej2πmt/Tdt=n=αnT/2T/2ej2π(nm)t/Tdt Multiply by the complex conjugate

T/2T/2x(t)ej2πmt/Tdt=n=αnTej2π(nm)t/Tj2π(nm)

BraKet Notation

Linear Time Invariant Systems

Changing Basis Functions

Identities

ejθ=cosθ+jsinθ

sinx=ejxejx2j

cosx=ejx+ejx2

nm=Tδn,m