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 T≠0.

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=−∞∞αn∫−T/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)e−j2πmt/Tdt=∑n=−∞∞αn∫−T/2T/2ej2πnt/Te−j2πmt/Tdt=∑n=−∞∞αn∫−T/2T/2ej2π(n−m)t/Tdt Multiply by the complex conjugate

∫−T/2T/2x(t)e−j2πmt/Tdt=∑n=−∞∞αnTej2π(n−m)t/Tj2π(n−m)

⟨Bra∣Ket⟩ Notation

Linear Time Invariant Systems

Changing Basis Functions

Identities

ejθ=cos⁡θ+jsin⁡θ

sin⁡x=ejx−e−jx2j

cos⁡x=ejx+e−jx2

⟨n∣m⟩=Tδn,m