IPython Notebook FFT Example

ipython_fft_example.ipynb

@pivdets, I'm not sure I fully understand your question, but I'll make an attempt at an answer to the ifft part.

I don't have time right now to extend the notebook to include the ifft case, but I can describe how you can figure it out on your own. You can take the Fourier spectrum results that are plotted in cell 9 at the end of the notebook and try to work backwards through the problem, using the ifft instead of fft in cell 4. If your code reproduces the signal plotted in cell 3 then you know you've got it working correctly. Maybe you can submit a pull request if you get it working. Once you have proven your method you can apply it to other Fourier spectra to recover the underlying signal.