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3 <!-- This manual is for FFTW
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4 (version 3.3.5, 30 July 2016).
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5
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6 Copyright (C) 2003 Matteo Frigo.
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7
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8 Copyright (C) 2003 Massachusetts Institute of Technology.
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9
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10 Permission is granted to make and distribute verbatim copies of this
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11 manual provided the copyright notice and this permission notice are
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12 preserved on all copies.
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14 Permission is granted to copy and distribute modified versions of this
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16 entire resulting derived work is distributed under the terms of a
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17 permission notice identical to this one.
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22 approved by the Free Software Foundation. -->
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23 <!-- Created by GNU Texinfo 5.2, http://www.gnu.org/software/texinfo/ -->
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24 <head>
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25 <title>FFTW 3.3.5: The Discrete Hartley Transform</title>
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26
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27 <meta name="description" content="FFTW 3.3.5: The Discrete Hartley Transform">
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34 <link href="Concept-Index.html#Concept-Index" rel="index" title="Concept Index">
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35 <link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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36 <link href="More-DFTs-of-Real-Data.html#More-DFTs-of-Real-Data" rel="up" title="More DFTs of Real Data">
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37 <link href="Other-Important-Topics.html#Other-Important-Topics" rel="next" title="Other Important Topics">
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38 <link href="Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029.html#Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029" rel="prev" title="Real even/odd DFTs (cosine/sine transforms)">
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66 </style>
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67
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68
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69 </head>
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70
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71 <body lang="en" bgcolor="#FFFFFF" text="#000000" link="#0000FF" vlink="#800080" alink="#FF0000">
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72 <a name="The-Discrete-Hartley-Transform"></a>
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73 <div class="header">
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74 <p>
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75 Previous: <a href="Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029.html#Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029" accesskey="p" rel="prev">Real even/odd DFTs (cosine/sine transforms)</a>, Up: <a href="More-DFTs-of-Real-Data.html#More-DFTs-of-Real-Data" accesskey="u" rel="up">More DFTs of Real Data</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html#Concept-Index" title="Index" rel="index">Index</a>]</p>
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76 </div>
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77 <hr>
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78 <a name="The-Discrete-Hartley-Transform-1"></a>
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79 <h4 class="subsection">2.5.3 The Discrete Hartley Transform</h4>
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80
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81 <p>If you are planning to use the DHT because you’ve heard that it is
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82 “faster” than the DFT (FFT), <strong>stop here</strong>. The DHT is not
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83 faster than the DFT. That story is an old but enduring misconception
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84 that was debunked in 1987.
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85 </p>
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86 <p>The discrete Hartley transform (DHT) is an invertible linear transform
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87 closely related to the DFT. In the DFT, one multiplies each input by
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88 <em>cos - i * sin</em> (a complex exponential), whereas in the DHT each
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89 input is multiplied by simply <em>cos + sin</em>. Thus, the DHT
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90 transforms <code>n</code> real numbers to <code>n</code> real numbers, and has the
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91 convenient property of being its own inverse. In FFTW, a DHT (of any
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92 positive <code>n</code>) can be specified by an r2r kind of <code>FFTW_DHT</code>.
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93 <a name="index-FFTW_005fDHT"></a>
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94 <a name="index-discrete-Hartley-transform"></a>
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95 <a name="index-DHT"></a>
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96 </p>
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97 <p>Like the DFT, in FFTW the DHT is unnormalized, so computing a DHT of
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98 size <code>n</code> followed by another DHT of the same size will result in
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99 the original array multiplied by <code>n</code>.
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100 <a name="index-normalization-4"></a>
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101 </p>
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102 <p>The DHT was originally proposed as a more efficient alternative to the
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103 DFT for real data, but it was subsequently shown that a specialized DFT
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104 (such as FFTW’s r2hc or r2c transforms) could be just as fast. In FFTW,
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105 the DHT is actually computed by post-processing an r2hc transform, so
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106 there is ordinarily no reason to prefer it from a performance
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107 perspective.<a name="DOCF5" href="#FOOT5"><sup>5</sup></a>
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108 However, we have heard rumors that the DHT might be the most appropriate
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109 transform in its own right for certain applications, and we would be
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110 very interested to hear from anyone who finds it useful.
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111 </p>
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112 <p>If <code>FFTW_DHT</code> is specified for multiple dimensions of a
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113 multi-dimensional transform, FFTW computes the separable product of 1d
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114 DHTs along each dimension. Unfortunately, this is not quite the same
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115 thing as a true multi-dimensional DHT; you can compute the latter, if
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116 necessary, with at most <code>rank-1</code> post-processing passes
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117 [see e.g. H. Hao and R. N. Bracewell, <i>Proc. IEEE</i> <b>75</b>, 264–266 (1987)].
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118 </p>
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119 <p>For the precise mathematical definition of the DHT as used by FFTW, see
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120 <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes">What FFTW Really Computes</a>.
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121 </p>
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122 <div class="footnote">
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123 <hr>
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124 <h4 class="footnotes-heading">Footnotes</h4>
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125
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126 <h3><a name="FOOT5" href="#DOCF5">(5)</a></h3>
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127 <p>We provide the DHT mainly as a byproduct of some
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128 internal algorithms. FFTW computes a real input/output DFT of
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129 <em>prime</em> size by re-expressing it as a DHT plus post/pre-processing
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130 and then using Rader’s prime-DFT algorithm adapted to the DHT.</p>
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131 </div>
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132 <hr>
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133 <div class="header">
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134 <p>
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135 Previous: <a href="Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029.html#Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029" accesskey="p" rel="prev">Real even/odd DFTs (cosine/sine transforms)</a>, Up: <a href="More-DFTs-of-Real-Data.html#More-DFTs-of-Real-Data" accesskey="u" rel="up">More DFTs of Real Data</a> [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html#Concept-Index" title="Index" rel="index">Index</a>]</p>
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136 </div>
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137
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138
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139
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140 </body>
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141 </html>
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