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FOURIER AND Z-TRANSFORM

The frequency function of a pulse at time $t_n=n\Delta t$ is $e^{i\omega n \Delta t} = (e^{i\omega \Delta t})^ n$.The factor $e^{i\omega\Delta t}$ occurs so often in applied work that it has a name:  
 \begin{displaymath}
Z \eq e^{i\omega \, \Delta t}\end{displaymath} (20)
With this Z, the pulse at time tn is compactly represented as Zn. The variable Z makes Fourier transforms look like polynomials, the subject of a literature called ``Z-transforms.'' The Z-transform is a variant form of the Fourier transform that is particularly useful for time-discretized (sampled) functions.

From the definition (20), we have $Z^2=e^{i\omega 2\Delta t }$, $Z^3=e^{i\omega 3\Delta t }$,etc. Using these equivalencies, equation (19) becomes  
 \begin{displaymath}
B(\omega) \eq
B(\omega (Z)) \eq
\sum_n \ b_n \ Z^n\end{displaymath} (21)


 
next up previous print clean
Next: Unit circle Up: Convolution and Spectra Previous: Fourier sum
Stanford Exploration Project
3/1/2001