PDL::FFT - FFTs for PDL
FFTs for PDL. These work for arrays of any dimension, although ones with small prime factors are likely to be the quickest.
For historical reasons, these routines work in-place and do not recognize the in-place flag. That should be fixed.
use PDL::FFT qw/:Func/; fft($real, $imag); ifft($real, $imag); realfft($real); realifft($real); fftnd($real,$imag); ifftnd($real,$imag); $kernel = kernctr($image,$smallk); fftconvolve($image,$kernel);
One-dimensional FFT of real function [inplace].
The real part of the transform ends up in the first half of the array and the imaginary part of the transform ends up in the second half of the array.
Inverse of one-dimensional realfft routine [inplace].
N-dimensional FFT (inplace)
N-dimensional inverse FFT
N-dimensional convolution with periodic boundaries (FFT method)
$kernel = kernctr($image,$smallk); fftconvolve($image,$kernel);
fftconvolve works inplace, and returns an error array in kernel as an accuracy check -- all the values in it should be negligible.
See also PDL::ImageND::convolveND, which performs speed-optimized convolution with a variety of boundary conditions.
The sizes of the image and the kernel must be the same. kernctr centres a small kernel to emulate the behaviour of the direct convolution routines.
The speed cross-over between using straight convolution (PDL::Image2D::conv2d()) and these fft routines is for kernel sizes roughly 7x7.
Where the source is marked `FIX', could re-implement using phase-shift factors on the transforms and some real-space bookkeeping, to save some temporary space and redundant transforms.
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