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

On Wed, Mar 20, 2019 at 1:32 AM Eyal Saiet <[email protected]> wrote:

> 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?
>>
>
I'm not aware on any implementation. It would be a bit too specialized to
put in scipy probably.


>> * 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....
>>
>
I would suggest to ask the AstroPy team why it was removed, or just get the
implementation from their older version and use that.

Cheers,
Ralf


>> Thanks
>> --
>>
>
> _______________________________________________
> SciPy-User mailing list
> [email protected]
> https://mail.python.org/mailman/listinfo/scipy-user
>

_______________________________________________
SciPy-User mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scipy-user