Re: Discrete Fourier transforms (scipy.fftpack)- radially averaged power spectrum(RAPS)

Checking if this email made it through the scipy community!?

On Sat, Mar 16, 2019 at 4:49 PM Eyal Saiet <[email protected]> wrote:

> Hello,
> The scipy.fftpack is quite a comprehensive toolset. Nonetheless, I am
> scratching my head why I cannot find a radially averaged power
> spectrum(RAPS) tool in scipy.fftpack which seems a natural complementary
> tool for an FFT toolset.  Do people just write the function for themselves?
> Or is it somewhere else already?
>
> * The radially averaged power spectrum(RAPS) is s the
> direction-independent mean spectrum, i.e. the average of all possible
> directional power spectra. The radially averaged power spectrum provides a
> convenient means to view and compare information contained in 2-D spectra
> in 1-D. This function computes and plots the RAPS of an input matrix (does
> not consider corner values outside averaging radius). The image can be
> rectangular but must be 2-D (e.g., multi-color channel data is not
> supported). The spatial resolution of the data is also specified (https://www.mathworks.com/matlabcentral/fileexchange/23636-radially-averaged-power-spectrum-of-2d-real-valued-matrix
> )
>
> *This tool was in Astropy 2.7 but I cannot find it Astropy 3.1....
>
> Thanks
> --
>

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