Am Mittwoch, 20. August 2008 schrieb Jonathan Woithe:
just a quick
question so I don't look as a complete retard in my paper
for a conference:
The delta-peak contains all frequencies phase-aligned while white noise
contains all frequencies with random phase, right?
That is my understanding, yes.
I just wanted to make sure. :-)
To flesh it out a bit more you could add that the
phase alignment in the
delta-peak case occurs at the point of the delta-peak (assuming cosine
decomposition), but that almost goes without saying.
Or the delta-peak is exactly at the position defined by the phase alignment.
Anyway, thinking about this I realized that I have maybe found a good way to
reduce the noise in my data-samples while still preserving the steep
(delta-peak-like) rising slope that is the real information... Maybe I
shouldn't just do lowpass filtering but dft -> suppress/reduce the amplitude
of frequencies with random phase -> back dft.
Only drawback is that this is _far_ slower then 1st order butterworth
lowpass...
Thanks for the help,
Arnold
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visit
http://www.arnoldarts.de/
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