Hello Robert! Thank you for your tips. They were very useful.
Bye Holger Am 11.01.2007, 19:08 Uhr, schrieb Robert Kern <[EMAIL PROTECTED]>: > Holger wrote: > >> What does it mean to me? How do I get to the wanted frequenca >> spectrum??? > > It's packed in the conventional FFT format. Here is a function in numpy > (the > successor to Numeric, which I assume that you are using) that generates > the > corresponding frequencies in the same packed format: > > In [324]: import numpy > > In [325]: numpy.fft.fftfreq? > Type: function > Base Class: <type 'function'> > Namespace: Interactive > File: > /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy-1.0.2.dev3507-py2.5-macosx-10.4-i386.egg/numpy/fft/helper.py > Definition: numpy.fft.fftfreq(n, d=1.0) > Docstring: > fftfreq(n, d=1.0) -> f > > DFT sample frequencies > > The returned float array contains the frequency bins in > cycles/unit (with zero at the start) given a window length n and a > sample spacing d: > > f = [0,1,...,n/2-1,-n/2,...,-1]/(d*n) if n is even > f = [0,1,...,(n-1)/2,-(n-1)/2,...,-1]/(d*n) if n is odd > > -- http://mail.python.org/mailman/listinfo/python-list
