Signal Processing
Signal Processing
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)