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////////////////////////////////////////////////////////////////////////
//
// Copyright (C) 2004-2021 The Octave Project Developers
//
// See the file COPYRIGHT.md in the top-level directory of this
// distribution or <https://octave.org/copyright/>.
//
// This file is part of Octave.
//
// Octave is free software: you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Octave is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Octave; see the file COPYING. If not, see
// <https://www.gnu.org/licenses/>.
//
////////////////////////////////////////////////////////////////////////
#if defined (HAVE_CONFIG_H)
# include "config.h"
#endif
#include "lo-mappers.h"
#include "defun.h"
#include "error.h"
#include "errwarn.h"
#include "ovl.h"
#include "utils.h"
// This function should be merged with Fifft.
static octave_value
do_fftn (const octave_value_list& args, const char *fcn, int type)
{
int nargin = args.length ();
if (nargin < 1 || nargin > 2)
print_usage ();
octave_value retval;
octave_value arg = args(0);
dim_vector dims = arg.dims ();
for (int i = 0; i < dims.ndims (); i++)
if (dims(i) < 0)
return retval;
if (nargin > 1)
{
Matrix val = args(1).xmatrix_value ("%s: SIZE must be a vector of length dim", fcn);
if (val.rows () > val.columns ())
val = val.transpose ();
if (val.columns () != dims.ndims () || val.rows () != 1)
error ("%s: SIZE must be a vector of length dim", fcn);
for (int i = 0; i < dims.ndims (); i++)
{
if (octave::math::isnan (val(i,0)))
error ("%s: SIZE has invalid NaN entries", fcn);
else if (octave::math::nint_big (val(i,0)) < 0)
error ("%s: all dimensions in SIZE must be greater than zero", fcn);
else
dims(i) = octave::math::nint_big(val(i,0));
}
}
if (dims.all_zero ())
{
if (arg.is_single_type ())
return octave_value (FloatMatrix ());
else
return octave_value (Matrix ());
}
if (arg.is_single_type ())
{
if (arg.isreal ())
{
FloatNDArray nda = arg.float_array_value ();
nda.resize (dims, 0.0);
retval = (type != 0 ? nda.ifourierNd () : nda.fourierNd ());
}
else
{
FloatComplexNDArray cnda = arg.float_complex_array_value ();
cnda.resize (dims, 0.0);
retval = (type != 0 ? cnda.ifourierNd () : cnda.fourierNd ());
}
}
else
{
if (arg.isreal ())
{
NDArray nda = arg.array_value ();
nda.resize (dims, 0.0);
retval = (type != 0 ? nda.ifourierNd () : nda.fourierNd ());
}
else if (arg.iscomplex ())
{
ComplexNDArray cnda = arg.complex_array_value ();
cnda.resize (dims, 0.0);
retval = (type != 0 ? cnda.ifourierNd () : cnda.fourierNd ());
}
else
err_wrong_type_arg (fcn, arg);
}
return retval;
}
DEFUN (fftn, args, ,
doc: /* -*- texinfo -*-
@deftypefn {} {} fftn (@var{A})
@deftypefnx {} {} fftn (@var{A}, @var{size})
Compute the N-dimensional discrete Fourier transform of @var{A} using
a Fast Fourier Transform (FFT) algorithm.
The optional vector argument @var{size} may be used specify the dimensions
of the array to be used. If an element of @var{size} is smaller than the
corresponding dimension of @var{A}, then the dimension of @var{A} is
truncated prior to performing the FFT@. Otherwise, if an element of
@var{size} is larger than the corresponding dimension then @var{A} is
resized and padded with zeros.
@seealso{ifftn, fft, fft2, fftw}
@end deftypefn */)
{
return do_fftn (args, "fftn", 0);
}
DEFUN (ifftn, args, ,
doc: /* -*- texinfo -*-
@deftypefn {} {} ifftn (@var{A})
@deftypefnx {} {} ifftn (@var{A}, @var{size})
Compute the inverse N-dimensional discrete Fourier transform of @var{A}
using a Fast Fourier Transform (FFT) algorithm.
The optional vector argument @var{size} may be used specify the dimensions
of the array to be used. If an element of @var{size} is smaller than the
corresponding dimension of @var{A}, then the dimension of @var{A} is
truncated prior to performing the inverse FFT@. Otherwise, if an element of
@var{size} is larger than the corresponding dimension then @var{A} is
resized and padded with zeros.
@seealso{fftn, ifft, ifft2, fftw}
@end deftypefn */)
{
return do_fftn (args, "ifftn", 1);
}
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