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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

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