Signals and systems/GF Fourier: Difference between revisions

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<math> x(t) = \sum_{n=-\infty}^\infty \alpha_n e^{{j2\pi nt}/T} \, </math> The definition of the Fourier series
<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> \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> Integrating both sides for one period. The range of integration is arbitrary, but using <math> \int_{-T/2}^{T/2} </math> scales nicely when extending the Fourier series to a non-periodic function
 
<math> \int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt = \sum_{n=-\infty}^\infty \alpha_n \int_{-T/2}^{T/2} e^{{j2\pi nt}/T}e^{{-j2\pi mt}/T} dt = \sum_{n=-\infty}^\infty \alpha_n \int_{-T/2}^{T/2} e^{{j2\pi (n-m)t}/T} dt</math> Multiply by the complex conjugate
 
<math> \int_{-T/2}^{T/2} x(t) e^{{-j2\pi mt}/T} dt = \sum_{n=-\infty}^\infty \alpha_n \frac{Te^{{j2\pi (n-m)t}/T}}{{j2\pi (n-m)}}</math>


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

Revision as of 21:52, 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 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