You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
| You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
|
| See also: fourier transform, types of filters |   |
The Fourier transform is a universal tool for filtering, since the signal
may be converted freely without loss between the time and the frequency
domain. In order to apply a filter using virtually any filter function,
one simply has to transform the signal into the frequency domain, apply
the filter function, and transform it back into the time domain. Below
is a simple example of the application of the Fourier transform for filtering
purposes. In order to become more familiar with that type of filtering,
an interactive example can be started by clicking into the image.
Last Update: 2004-Jul-03