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 -- visit http://www.arnoldarts.de/ --- Hi, I am a .signature virus. Please copy me into your ~/.signature and send me to all your contacts. After a month or so log in as root and do a "rm -rf /". Or ask your administrator to do so...
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