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booklet format - inaf iasf bologna

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Temporal Data Analysis A.A. 2011/2012<br />

Figure A.2: The normalized Gaussian function (left) and its Fourier transform (right), that is<br />

another Gaussian. Note that the Fourier transform is not normalized.<br />

2.5 Fourier Trans<strong>format</strong>ion of Relevant Functions — Page 24<br />

Normalized Gaussian function<br />

The prefactor is chosen in such a way that the area under the function is normalized to unity.<br />

Its Fourier transform is<br />

f (t) = 1<br />

σ 1 2π e− 2<br />

t 2<br />

σ 2<br />

∫ +∞<br />

e − 1 t 2<br />

2<br />

−∞<br />

∫ +∞<br />

e − 1 t 2<br />

2 σ 2<br />

0<br />

1<br />

F (ω) =<br />

σ 2π<br />

2<br />

=<br />

σ 2π<br />

= exp<br />

(− 1 )<br />

2 σ2 ω 2<br />

σ 2 e −iωt dt<br />

cosωt dt<br />

Again, the imaginary part is null because the function is even. The Fourier transform of a<br />

Gaussian results to be another Gaussian. Note that the Fourier transform is not normalized to<br />

unit area.<br />

f (t) has σ in the exponent denominator, while F (ω) has it in the exponent numerator: the<br />

slimmer f (t), the wider F (ω) and vice versa, as shown in Figure A.2.<br />

The bilateral exponential function<br />

f (t) = e −|t|/τ<br />

120 M.Orlandini

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