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Schmucker-Weidelt Lecture Notes, Aarhus, 1975 - MTNet

Schmucker-Weidelt Lecture Notes, Aarhus, 1975 - MTNet

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which has 'the Fourier transform T for m = 0<br />

"1% 0 71-<br />

t -5<br />

G({l<br />

where <<br />

'm<br />

> is the discs-te Fourie~ transform of W ( t ) * Z(t). This<br />

smoothing procedure of the origi.na1 spectrum is czlled "harming"<br />

after Julius von Hann.<br />

\<br />

\<br />

\<br />

\<br />

\ / -. L- q-4----&<br />

b , I.\/' 3 1<br />

The convolution of W with descrefe values of Z reduces then to<br />

- 1 - -<br />

m T m-m m<br />

-<br />

1-<br />

-(Z. + ZIY m r O<br />

( 2 0<br />

= - C bi A* ZA = m = 1, 2, . . . PI-1<br />

-(Z 4-2 m = M<br />

2 M-1 M<br />

In certain cases it will. be necessary to apply a numerical fi1.ti.r<br />

to the time series to be analysed beforc -. the Fourier transformation.<br />

This filtering process consi.sts i.n a convolution of 2c.t) with a<br />

filter function \d(t) - in the - time do1naj.n and thus corresponds to a<br />

multiplication of Z with W in the frequency domain. But because<br />

the filtering procedure is intended to prepare the time series for<br />

the Fourier transformation it must be carried out in the time domain<br />

If W denotes the filter weight for t = t17, the discrete form of<br />

n<br />

the convolu-ti.on is<br />

Usually even 'filters are employed, W ( t ) = W(-t), to preserve .the<br />

corr-ec-t phase of the Fourier coniponents, The transform of is chose:<br />

in such a way that it acts as a heigh-, lord- or bandpass fj.1-ter for<br />

fr.equency-independent (="whitet') spectra:

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