Provided by: libmath-gsl-perl_0.39-1build2_amd64 
NAME
Math::GSL::FFT - Fast Fourier Transforms (FFT)
SYNOPSIS
use Math::GSL::FFT qw /:all/;
# alternating elements are real/imaginary part, hence 256 element array
my $data = [ (1) x 10, (0) x 236, (1) x 10 ];
# use every element of the array
my $stride = 1;
# But it contains 128 complex numbers
my ($status, $fft) = gsl_fft_complex_radix2_forward ($data, $stride, 128);
DESCRIPTION
This module and this documentation is still in a very early state. Danger Will Robinson! An OO interface
will evolve soon.
• "gsl_fft_complex_radix2_forward($data, $stride, $n) "
This function computes the forward FFTs of length $n with stride $stride, on the array reference
$data using an in-place radix-2 decimation-in-time algorithm. The length of the transform $n is
restricted to powers of two. For the transform version of the function the sign argument can be
either forward (-1) or backward (+1). The functions return a value of $GSL_SUCCESS if no errors were
detected, or $GSL_EDOM if the length of the data $n is not a power of two. The complex functions of
the FFT module are not yet fully implemented.
• "gsl_fft_complex_radix2_backward "
• "gsl_fft_complex_radix2_inverse "
• "gsl_fft_complex_radix2_transform "
• "gsl_fft_complex_radix2_dif_forward "
• "gsl_fft_complex_radix2_dif_backward "
• "gsl_fft_complex_radix2_dif_inverse "
• "gsl_fft_complex_radix2_dif_transform "
• "gsl_fft_complex_wavetable_alloc($n)"
This function prepares a trigonometric lookup table for a complex FFT of length $n. The function
returns a pointer to the newly allocated gsl_fft_complex_wavetable if no errors were detected, and a
null pointer in the case of error. The length $n is factorized into a product of subtransforms, and
the factors and their trigonometric coefficients are stored in the wavetable. The trigonometric
coefficients are computed using direct calls to sin and cos, for accuracy. Recursion relations could
be used to compute the lookup table faster, but if an application performs many FFTs of the same
length then this computation is a one-off overhead which does not affect the final throughput. The
wavetable structure can be used repeatedly for any transform of the same length. The table is not
modified by calls to any of the other FFT functions. The same wavetable can be used for both forward
and backward (or inverse) transforms of a given length.
• "gsl_fft_complex_wavetable_free($wavetable)"
This function frees the memory associated with the wavetable $wavetable. The wavetable can be freed
if no further FFTs of the same length will be needed.
• "gsl_fft_complex_workspace_alloc($n)"
This function allocates a workspace for a complex transform of length $n.
• "gsl_fft_complex_workspace_free($workspace) "
This function frees the memory associated with the workspace $workspace. The workspace can be freed
if no further FFTs of the same length will be needed.
• "gsl_fft_complex_memcpy "
• "gsl_fft_complex_forward "
• "gsl_fft_complex_backward "
• "gsl_fft_complex_inverse "
• "gsl_fft_complex_transform "
• "gsl_fft_halfcomplex_radix2_backward($data, $stride, $n)"
This function computes the backwards in-place radix-2 FFT of length $n and stride $stride on the
half-complex sequence data stored according the output scheme used by gsl_fft_real_radix2. The result
is a real array stored in natural order.
• "gsl_fft_halfcomplex_radix2_inverse($data, $stride, $n)"
This function computes the inverse in-place radix-2 FFT of length $n and stride $stride on the half-
complex sequence data stored according the output scheme used by gsl_fft_real_radix2. The result is a
real array stored in natural order.
• "gsl_fft_halfcomplex_radix2_transform"
• "gsl_fft_halfcomplex_wavetable_alloc($n)"
This function prepares trigonometric lookup tables for an FFT of size $n real elements. The functions
return a pointer to the newly allocated struct if no errors were detected, and a null pointer in the
case of error. The length $n is factorized into a product of subtransforms, and the factors and their
trigonometric coefficients are stored in the wavetable. The trigonometric coefficients are computed
using direct calls to sin and cos, for accuracy. Recursion relations could be used to compute the
lookup table faster, but if an application performs many FFTs of the same length then computing the
wavetable is a one-off overhead which does not affect the final throughput. The wavetable structure
can be used repeatedly for any transform of the same length. The table is not modified by calls to
any of the other FFT functions. The appropriate type of wavetable must be used for forward real or
inverse half-complex transforms.
• "gsl_fft_halfcomplex_wavetable_free($wavetable)"
This function frees the memory associated with the wavetable $wavetable. The wavetable can be freed
if no further FFTs of the same length will be needed.
• "gsl_fft_halfcomplex_backward "
• "gsl_fft_halfcomplex_inverse "
• "gsl_fft_halfcomplex_transform "
• "gsl_fft_halfcomplex_unpack "
• "gsl_fft_halfcomplex_radix2_unpack "
• "gsl_fft_real_radix2_transform($data, $stride, $n) "
This function computes an in-place radix-2 FFT of length $n and stride $stride on the real array
reference $data. The output is a half-complex sequence, which is stored in-place. The arrangement of
the half-complex terms uses the following scheme: for k < N/2 the real part of the k-th term is
stored in location k, and the corresponding imaginary part is stored in location N-k. Terms with k >
N/2 can be reconstructed using the symmetry z_k = z^*_{N-k}. The terms for k=0 and k=N/2 are both
purely real, and count as a special case. Their real parts are stored in locations 0 and N/2
respectively, while their imaginary parts which are zero are not stored. The following table shows
the correspondence between the output data and the equivalent results obtained by considering the
input data as a complex sequence with zero imaginary part,
complex[0].real = data[0]
complex[0].imag = 0
complex[1].real = data[1]
complex[1].imag = data[N-1]
............... ................
complex[k].real = data[k]
complex[k].imag = data[N-k]
............... ................
complex[N/2].real = data[N/2]
complex[N/2].imag = 0
............... ................
complex[k'].real = data[k] k' = N - k
complex[k'].imag = -data[N-k]
............... ................
complex[N-1].real = data[1]
complex[N-1].imag = -data[N-1]
Note that the output data can be converted into the full complex sequence using the function
gsl_fft_halfcomplex_unpack.
• "gsl_fft_real_wavetable_alloc($n)"
This function prepares trigonometric lookup tables for an FFT of size $n real elements. The functions
return a pointer to the newly allocated struct if no errors were detected, and a null pointer in the
case of error. The length $n is factorized into a product of subtransforms, and the factors and their
trigonometric coefficients are stored in the wavetable. The trigonometric coefficients are computed
using direct calls to sin and cos, for accuracy. Recursion relations could be used to compute the
lookup table faster, but if an application performs many FFTs of the same length then computing the
wavetable is a one-off overhead which does not affect the final throughput. The wavetable structure
can be used repeatedly for any transform of the same length. The table is not modified by calls to
any of the other FFT functions. The appropriate type of wavetable must be used for forward real or
inverse half-complex transforms.
• "gsl_fft_real_wavetable_free($wavetable)"
This function frees the memory associated with the wavetable $wavetable. The wavetable can be freed
if no further FFTs of the same length will be needed.
• "gsl_fft_real_workspace_alloc($n)"
This function allocates a workspace for a real transform of length $n. The same workspace can be used
for both forward real and inverse halfcomplex transforms.
• "gsl_fft_real_workspace_free($workspace)"
This function frees the memory associated with the workspace $workspace. The workspace can be freed
if no further FFTs of the same length will be needed.
• "gsl_fft_real_transform "
• "gsl_fft_real_unpack "
This module also includes the following constants :
• $gsl_fft_forward
• $gsl_fft_backward
For more information on the functions, we refer you to the GSL offcial documentation:
<http://www.gnu.org/software/gsl/manual/html_node/>
AUTHORS
Jonathan "Duke" Leto <jonathan@leto.net> and Thierry Moisan <thierry.moisan@gmail.com>
COPYRIGHT AND LICENSE
Copyright (C) 2008-2011 Jonathan "Duke" Leto and Thierry Moisan
This program is free software; you can redistribute it and/or modify it under the same terms as Perl
itself.
perl v5.26.0 2017-08-06 Math::GSL::FFT(3pm)