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A.A. 2011/2012<br />
Temporal Data Analysis<br />
Figure A.3: The bilateral exponential function (left) and its Fourier transform (right)<br />
Its Fourier transform is<br />
F (ω) =<br />
∫ +∞<br />
−∞<br />
e −|t|/τ e −iωt dt = 2<br />
∫ +∞<br />
0<br />
e −t/τ 2τ<br />
cosωt dt =<br />
1 + ω 2 τ 2<br />
As f (t) is even, the imaginary part of its Fourier transform is null. The Fourier transform of the<br />
bilateral exponential function is a Lorentzian. Both functions are shown in Figure A.3.<br />
Unilateral exponential function<br />
Its Fourier transform is<br />
f (t) =<br />
{ e<br />
−λt<br />
for t ≥ 0<br />
0 else<br />
F (ω) =<br />
=<br />
=<br />
=<br />
∫ +∞<br />
0<br />
e −λt e −iωt dt<br />
e −(λ+iω)t<br />
∣<br />
−(λ + iω)<br />
∣<br />
1<br />
+∞<br />
λ + iω<br />
λ<br />
λ 2 + ω 2 − i ω<br />
λ 2 + ω 2<br />
0<br />
F (ω) is complex, as f (t) is neither even nor odd. We now can write the real and the imaginary<br />
parts separately. The real part has a Lorentzian shape we are familiar with by now, and the<br />
imaginary part has a dispersion shape.<br />
M.Orlandini 121