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Signal Processing

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Transform theory<br />

Example: Fourier transform of the Gaussian pulse<br />

{ √<br />

F e −at2} π ω2<br />

= e− 4a<br />

a<br />

Proof: Notice that x(t) = e −at2 is a solution to<br />

∂x(t)<br />

∂t<br />

+ 2atx(t) = 0<br />

Take the Fourier transform and use F{ ∂x(t) } = iωX(ω) and F{tx(t)} = i ∂X(ω)<br />

∂t<br />

∂ω<br />

iωX(ω) + 2ai ∂X(ω)<br />

∂ω<br />

Parseval’s theorem<br />

= 0 ⇒ ∂X(ω) ( ) 1<br />

∂ω + 2 ωX(ω) = 0 ⇒ X(ω) = Ce − 4a 1 ω2<br />

4a<br />

∫ ∞<br />

−∞<br />

∫ ∞<br />

x 2 (t) dt = e −2at2 dt = 1<br />

−∞<br />

2π<br />

= {ω = 2at, dω = 2a dt} = C2<br />

2π<br />

∫ ∞<br />

−∞<br />

∫ ∞<br />

−∞<br />

∫<br />

X 2 (ω) dω = C2 ∞<br />

e − ω2<br />

2a dω<br />

2π −∞<br />

e −2at2 2a dt ⇒ 1 = C2<br />

2π 2a ⇒ C = √ π<br />

a<br />

Sven Nordebo, School of Computer Science, Physics and Mathematics, Linnæus University, Sweden. 26(28)

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