I thought it was the same as the MATLAB format: http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/fft.html&http://www.google.com/search ?client=safari&rls=en-us&q=MATLAB+fft&ie=UTF-8&oe=UTF-8
On Mar 26, 2009, at 7:56 PM, Lutz Maibaum wrote: > Hello, > > I just started to use python and numpy for some numerical analysis. I > have a question about the definition of the inverse Fourier transform. > The user gives the formula (p.180) > > x[m] = Sum_k X[k] exp(j 2pi k m / n) > > where X[k] are the Fourier coefficients, and n is the length of the > arrays. > > The online documentation > (http://docs.scipy.org/doc/numpy/reference/routines.fft.html), on the > other hand, states that there is an additional factor of 1/n, which is > required to make ifft() the inverse of fft(). Is this a misprint in > the user guide? > > Lutz > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion -gideon _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
