annotate libinterp/corefcn/fftn.cc @ 33623:4517f929c59d bytecode-interpreter tip

maint: Merge default to bytecode-interpreter
author Arun Giridhar <arungiridhar@gmail.com>
date Fri, 24 May 2024 16:22:41 -0400
parents 6e67f10b4d33
children
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1 ////////////////////////////////////////////////////////////////////////
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2 //
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3 // Copyright (C) 2004-2024 The Octave Project Developers
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4 //
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5 // See the file COPYRIGHT.md in the top-level directory of this
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6 // distribution or <https://octave.org/copyright/>.
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7 //
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8 // This file is part of Octave.
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9 //
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10 // Octave is free software: you can redistribute it and/or modify it
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11 // under the terms of the GNU General Public License as published by
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12 // the Free Software Foundation, either version 3 of the License, or
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13 // (at your option) any later version.
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14 //
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15 // Octave is distributed in the hope that it will be useful, but
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16 // WITHOUT ANY WARRANTY; without even the implied warranty of
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17 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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18 // GNU General Public License for more details.
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19 //
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20 // You should have received a copy of the GNU General Public License
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21 // along with Octave; see the file COPYING. If not, see
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22 // <https://www.gnu.org/licenses/>.
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23 //
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24 ////////////////////////////////////////////////////////////////////////
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25
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26 #if defined (HAVE_CONFIG_H)
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27 # include "config.h"
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28 #endif
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29
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30 #include "lo-mappers.h"
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31
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32 #include "defun.h"
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33 #include "error.h"
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34 #include "errwarn.h"
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35 #include "ovl.h"
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36 #include "utils.h"
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37
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38 OCTAVE_BEGIN_NAMESPACE(octave)
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39
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40 // This function should be merged with Fifft.
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41
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42 static octave_value
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43 do_fftn (const octave_value_list& args, const char *fcn, int type)
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44 {
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45 int nargin = args.length ();
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46
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47 if (nargin < 1 || nargin > 2)
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48 print_usage ();
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49
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50 octave_value retval;
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51 octave_value arg = args(0);
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52 dim_vector dims = arg.dims ();
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53
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54 for (int i = 0; i < dims.ndims (); i++)
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55 if (dims(i) < 0)
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56 return retval;
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57
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58 if (nargin > 1)
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59 {
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60 Matrix val = args(1).xmatrix_value ("%s: SIZE must be a vector of length dim", fcn);
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61
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62 if (val.rows () > val.columns ())
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63 val = val.transpose ();
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64
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65 if (val.columns () != dims.ndims () || val.rows () != 1)
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66 error ("%s: SIZE must be a vector of length dim", fcn);
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67
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68 for (int i = 0; i < dims.ndims (); i++)
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69 {
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70 if (math::isnan (val(i, 0)))
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71 error ("%s: SIZE has invalid NaN entries", fcn);
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72 else if (math::nint_big (val(i, 0)) < 0)
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73 error ("%s: all dimensions in SIZE must be greater than zero", fcn);
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74 else
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75 dims(i) = math::nint_big(val(i, 0));
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76 }
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77 }
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78
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79 if (dims.any_zero ())
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80 {
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81 if (arg.is_single_type ())
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82 return octave_value (FloatNDArray (dims));
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83 else
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84 return octave_value (NDArray (dims));
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85 }
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86
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87 if (arg.is_single_type ())
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88 {
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89 if (arg.isreal ())
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90 {
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91 FloatNDArray nda = arg.float_array_value ();
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92
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93 nda.resize (dims, 0.0);
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94 retval = (type != 0 ? nda.ifourierNd () : nda.fourierNd ());
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95 }
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96 else
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97 {
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98 FloatComplexNDArray cnda = arg.float_complex_array_value ();
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99
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100 cnda.resize (dims, 0.0);
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101 retval = (type != 0 ? cnda.ifourierNd () : cnda.fourierNd ());
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102 }
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103 }
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104 else
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105 {
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106 if (arg.isreal ())
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107 {
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108 NDArray nda = arg.array_value ();
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109
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110 nda.resize (dims, 0.0);
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111 retval = (type != 0 ? nda.ifourierNd () : nda.fourierNd ());
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112 }
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113 else if (arg.iscomplex ())
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114 {
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115 ComplexNDArray cnda = arg.complex_array_value ();
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116
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117 cnda.resize (dims, 0.0);
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118 retval = (type != 0 ? cnda.ifourierNd () : cnda.fourierNd ());
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119 }
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120 else
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121 err_wrong_type_arg (fcn, arg);
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122 }
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123
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124 return retval;
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125 }
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126
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127 DEFUN (fftn, args, ,
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128 doc: /* -*- texinfo -*-
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129 @deftypefn {} {@var{B} =} fftn (@var{A})
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130 @deftypefnx {} {@var{B} =} fftn (@var{A}, @var{size})
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131 Compute the N-dimensional discrete Fourier transform of @var{A} using
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132 a Fast Fourier Transform (FFT) algorithm.
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133
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134 The optional vector argument @var{size} may be used specify the dimensions
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135 of the array to be used. If an element of @var{size} is smaller than the
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136 corresponding dimension of @var{A}, then the dimension of @var{A} is
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137 truncated prior to performing the FFT@. Otherwise, if an element of
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138 @var{size} is larger than the corresponding dimension then @var{A} is
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139 resized and padded with zeros.
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140 @seealso{ifftn, fft, fft2, fftw}
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141 @end deftypefn */)
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142 {
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143 return do_fftn (args, "fftn", 0);
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144 }
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145
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146 /*
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147 %!testif HAVE_FFTW <*65414>
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148 %! sz = size (fftn (ones (2, 0, 3)));
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149 %! assert (sz, [2, 0, 3]);
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150
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151 %!testif HAVE_FFTW <*65414>
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152 %! sz = size (fftn (ones (5, 4, 3), [2, 0, 3]));
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153 %! assert (sz, [2, 0, 3]);
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154 */
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155
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156 DEFUN (ifftn, args, ,
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157 doc: /* -*- texinfo -*-
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158 @deftypefn {} {@var{A} =} ifftn (@var{B})
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159 @deftypefnx {} {@var{A} =} ifftn (@var{B}, @var{size})
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160 Compute the inverse N-dimensional discrete Fourier transform of @var{B}
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161 using a Fast Fourier Transform (FFT) algorithm.
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162
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163 The optional vector argument @var{size} may be used specify the dimensions
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164 of the array to be used. If an element of @var{size} is smaller than the
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165 corresponding dimension of @var{B}, then the dimension of @var{B} is
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166 truncated prior to performing the inverse FFT@. Otherwise, if an element of
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167 @var{size} is larger than the corresponding dimension then @var{B} is
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168 resized and padded with zeros.
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169 @seealso{fftn, ifft, ifft2, fftw}
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170 @end deftypefn */)
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171 {
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172 return do_fftn (args, "ifftn", 1);
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173 }
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174
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175 /*
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176 %!testif HAVE_FFTW <*65414>
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177 %! sz = size (ifftn (ones (2, 0, 3)));
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178 %! assert (sz, [2, 0, 3]);
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179
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180 %!testif HAVE_FFTW <*65414>
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181 %! sz = size (ifftn (ones (5, 4, 3), [2, 0, 3]));
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182 %! assert (sz, [2, 0, 3]);
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183 */
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184
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185 OCTAVE_END_NAMESPACE(octave)