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Current fftw source
author Chris Cannam
date Tue, 18 Oct 2016 13:40:26 +0100
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Chris@42 25 <title>FFTW 3.3.5: The Discrete Hartley Transform</title>
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Chris@42 72 <a name="The-Discrete-Hartley-Transform"></a>
Chris@42 73 <div class="header">
Chris@42 74 <p>
Chris@42 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> &nbsp; [<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>
Chris@42 76 </div>
Chris@42 77 <hr>
Chris@42 78 <a name="The-Discrete-Hartley-Transform-1"></a>
Chris@42 79 <h4 class="subsection">2.5.3 The Discrete Hartley Transform</h4>
Chris@42 80
Chris@42 81 <p>If you are planning to use the DHT because you&rsquo;ve heard that it is
Chris@42 82 &ldquo;faster&rdquo; than the DFT (FFT), <strong>stop here</strong>. The DHT is not
Chris@42 83 faster than the DFT. That story is an old but enduring misconception
Chris@42 84 that was debunked in 1987.
Chris@42 85 </p>
Chris@42 86 <p>The discrete Hartley transform (DHT) is an invertible linear transform
Chris@42 87 closely related to the DFT. In the DFT, one multiplies each input by
Chris@42 88 <em>cos - i * sin</em> (a complex exponential), whereas in the DHT each
Chris@42 89 input is multiplied by simply <em>cos + sin</em>. Thus, the DHT
Chris@42 90 transforms <code>n</code> real numbers to <code>n</code> real numbers, and has the
Chris@42 91 convenient property of being its own inverse. In FFTW, a DHT (of any
Chris@42 92 positive <code>n</code>) can be specified by an r2r kind of <code>FFTW_DHT</code>.
Chris@42 93 <a name="index-FFTW_005fDHT"></a>
Chris@42 94 <a name="index-discrete-Hartley-transform"></a>
Chris@42 95 <a name="index-DHT"></a>
Chris@42 96 </p>
Chris@42 97 <p>Like the DFT, in FFTW the DHT is unnormalized, so computing a DHT of
Chris@42 98 size <code>n</code> followed by another DHT of the same size will result in
Chris@42 99 the original array multiplied by <code>n</code>.
Chris@42 100 <a name="index-normalization-4"></a>
Chris@42 101 </p>
Chris@42 102 <p>The DHT was originally proposed as a more efficient alternative to the
Chris@42 103 DFT for real data, but it was subsequently shown that a specialized DFT
Chris@42 104 (such as FFTW&rsquo;s r2hc or r2c transforms) could be just as fast. In FFTW,
Chris@42 105 the DHT is actually computed by post-processing an r2hc transform, so
Chris@42 106 there is ordinarily no reason to prefer it from a performance
Chris@42 107 perspective.<a name="DOCF5" href="#FOOT5"><sup>5</sup></a>
Chris@42 108 However, we have heard rumors that the DHT might be the most appropriate
Chris@42 109 transform in its own right for certain applications, and we would be
Chris@42 110 very interested to hear from anyone who finds it useful.
Chris@42 111 </p>
Chris@42 112 <p>If <code>FFTW_DHT</code> is specified for multiple dimensions of a
Chris@42 113 multi-dimensional transform, FFTW computes the separable product of 1d
Chris@42 114 DHTs along each dimension. Unfortunately, this is not quite the same
Chris@42 115 thing as a true multi-dimensional DHT; you can compute the latter, if
Chris@42 116 necessary, with at most <code>rank-1</code> post-processing passes
Chris@42 117 [see e.g. H. Hao and R. N. Bracewell, <i>Proc. IEEE</i> <b>75</b>, 264&ndash;266 (1987)].
Chris@42 118 </p>
Chris@42 119 <p>For the precise mathematical definition of the DHT as used by FFTW, see
Chris@42 120 <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes">What FFTW Really Computes</a>.
Chris@42 121 </p>
Chris@42 122 <div class="footnote">
Chris@42 123 <hr>
Chris@42 124 <h4 class="footnotes-heading">Footnotes</h4>
Chris@42 125
Chris@42 126 <h3><a name="FOOT5" href="#DOCF5">(5)</a></h3>
Chris@42 127 <p>We provide the DHT mainly as a byproduct of some
Chris@42 128 internal algorithms. FFTW computes a real input/output DFT of
Chris@42 129 <em>prime</em> size by re-expressing it as a DHT plus post/pre-processing
Chris@42 130 and then using Rader&rsquo;s prime-DFT algorithm adapted to the DHT.</p>
Chris@42 131 </div>
Chris@42 132 <hr>
Chris@42 133 <div class="header">
Chris@42 134 <p>
Chris@42 135 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> &nbsp; [<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>
Chris@42 136 </div>
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