Comments (4)
As for SciPy, these are all interface to FFTPACK main functions.
We follow closely the SciPy setup here, take a look at: https://docs.scipy.org/doc/scipy/reference/fft.html
Or directly to FFTPACK documentation.
forward real and complex FFT are wrapped into fft
inverse or backward FFT are wrapped in ifft
There are many different cases (1d, 2d, nd, cos, sin, etc..), there are helpers functions like fftshift.
You should know a bit about discrete FFT to really understand what you need.
There are in addition even simple discrete FT, not really fast, but do the work in simple cases.
A
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Hi,
Does the Scifor provide an interface to FFTW
?
from scifortran.
In the current implementation it does not. It should be straightforward to adapt the FFTPACK interface to FFTW library.
from scifortran.
from scifortran.
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