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.\"
.IX Title "Math::GSL::FFT 3pm"
.TH Math::GSL::FFT 3pm 2024-01-10 "perl v5.38.2" "User Contributed Perl Documentation"
.\" For nroff, turn off justification. Always turn off hyphenation; it makes
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.nh
.SH NAME
Math::GSL::FFT \- Fast Fourier Transforms (FFT)
.SH SYNOPSIS
.IX Header "SYNOPSIS"
.Vb 6
\& use Math::GSL::FFT qw /:all/;
\& my $input1 = [ 0 .. 7 ];
\& my $N1 = @$input1;
\& my ($status1, $output1) = gsl_fft_real_radix2_transform ($input, 1, $N1);
\& my ($status2, $output2) = gsl_fft_halfcomplex_radix2_inverse($output2, 1, $N1);
\& # $input1 == $output2
\&
\& my $input2 = [ 0 .. 6 ];
\& my $N2 = @$input;
\& my $workspace1 = gsl_fft_real_workspace_alloc($N2);
\& my $wavetable1 = gsl_fft_real_wavetable_alloc($N2);
\& my ($status3,$output3) = gsl_fft_real_transform ($input, 1, $N2, $wavetable1, $workspace1);
\& my $wavetable4 = gsl_fft_halfcomplex_wavetable_alloc($N2);
\& my $workspace4 = gsl_fft_real_workspace_alloc($N2);
\& my ($status4,$output4) = gsl_fft_halfcomplex_inverse($output, 1, $N2, $wavetable4, $workspace4);
\&
\& # $input2 == $output4
.Ve
.SH DESCRIPTION
.IX Header "DESCRIPTION"
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_forward($data, $stride, $n) \*(C'\fR
.Sp
This function computes the forward FFTs of length \f(CW$n\fR with stride \f(CW$stride\fR, on
the array reference \f(CW$data\fR using an in-place radix\-2 decimation-in-time
algorithm. The length of the transform \f(CW$n\fR is restricted to powers of two. For
the transform version of the function the sign argument can be either forward
(\-1) or backward (+1). The functions return a value of \f(CW$GSL_SUCCESS\fR if no
errors were detected, or \f(CW$GSL_EDOM\fR if the length of the data \f(CW$n\fR is not a power
of two.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_backward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_inverse \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_transform \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_dif_forward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_dif_backward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_dif_inverse \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_radix2_dif_transform \*(C'\fR
.IP \(bu 4
\&\f(CWgsl_fft_complex_wavetable_alloc($n)\fR
.Sp
This function prepares a trigonometric lookup table for a complex FFT of length
\&\f(CW$n\fR. 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 \f(CW$n\fR 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.
.IP \(bu 4
\&\f(CWgsl_fft_complex_wavetable_free($wavetable)\fR
.Sp
This function frees the memory associated with the wavetable \f(CW$wavetable\fR. The
wavetable can be freed if no further FFTs of the same length will be needed.
.IP \(bu 4
\&\f(CWgsl_fft_complex_workspace_alloc($n)\fR
.Sp
This function allocates a workspace for a complex transform of length \f(CW$n\fR.
.IP \(bu 4
\&\f(CWgsl_fft_complex_workspace_free($workspace) \fR
.Sp
This function frees the memory associated with the workspace \f(CW$workspace\fR. The
workspace can be freed if no further FFTs of the same length will be needed.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_memcpy \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_forward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_backward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_inverse \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_complex_transform \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_radix2_backward($data, $stride, $n)\*(C'\fR
.Sp
This function computes the backwards in-place radix\-2 FFT of length \f(CW$n\fR and
stride \f(CW$stride\fR 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.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_radix2_inverse($data, $stride, $n)\*(C'\fR
.Sp
This function computes the inverse in-place radix\-2 FFT of length \f(CW$n\fR and stride
\&\f(CW$stride\fR 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.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_radix2_transform\*(C'\fR
.IP \(bu 4
\&\f(CWgsl_fft_halfcomplex_wavetable_alloc($n)\fR
.Sp
This function prepares trigonometric lookup tables for an FFT of size \f(CW$n\fR 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 \f(CW$n\fR 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.
.IP \(bu 4
\&\f(CWgsl_fft_halfcomplex_wavetable_free($wavetable)\fR
.Sp
This function frees the memory associated with the wavetable \f(CW$wavetable\fR. The
wavetable can be freed if no further FFTs of the same length will be needed.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_backward \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_inverse \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_transform \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_unpack \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_halfcomplex_radix2_unpack \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_real_radix2_transform($data, $stride, $n) \*(C'\fR
.Sp
This function computes an in-place radix\-2 FFT of length \f(CW$n\fR and stride \f(CW$stride\fR
on the real array reference \f(CW$data\fR. 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,
.Sp
.Vb 10
\& 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\*(Aq].real = data[k] k\*(Aq = N \- k
\& complex[k\*(Aq].imag = \-data[N\-k]
\& ............... ................
\& complex[N\-1].real = data[1]
\& complex[N\-1].imag = \-data[N\-1]
.Ve
.Sp
Note that the output data can be converted into the full complex sequence using
the function gsl_fft_halfcomplex_unpack.
.IP \(bu 4
\&\f(CWgsl_fft_real_wavetable_alloc($n)\fR
.Sp
This function prepares trigonometric lookup tables for an FFT of size \f(CW$n\fR 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 \f(CW$n\fR 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.
.IP \(bu 4
\&\f(CWgsl_fft_real_wavetable_free($wavetable)\fR
.Sp
This function frees the memory associated with the wavetable \f(CW$wavetable\fR. The
wavetable can be freed if no further FFTs of the same length will be needed.
.IP \(bu 4
\&\f(CWgsl_fft_real_workspace_alloc($n)\fR
.Sp
This function allocates a workspace for a real transform of length \f(CW$n\fR. The same
workspace can be used for both forward real and inverse halfcomplex transforms.
.IP \(bu 4
\&\f(CWgsl_fft_real_workspace_free($workspace)\fR
.Sp
This function frees the memory associated with the workspace \f(CW$workspace\fR. The
workspace can be freed if no further FFTs of the same length will be needed.
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_real_transform \*(C'\fR
.IP \(bu 4
\&\f(CW\*(C`gsl_fft_real_unpack \*(C'\fR
.PP
This module also includes the following constants :
.IP \(bu 4
\&\f(CW$gsl_fft_forward\fR
.IP \(bu 4
\&\f(CW$gsl_fft_backward\fR
.PP
For more information on the functions, we refer you to the GSL official
documentation:
.SH AUTHORS
.IX Header "AUTHORS"
Jonathan "Duke" Leto and Thierry Moisan
.SH "COPYRIGHT AND LICENSE"
.IX Header "COPYRIGHT AND LICENSE"
Copyright (C) 2008\-2023 Jonathan "Duke" Leto and Thierry Moisan
.PP
This program is free software; you can redistribute it and/or modify it
under the same terms as Perl itself.