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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: Multi-dimensional Transforms</title>
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Chris@42 72 <a name="Multi_002ddimensional-Transforms"></a>
Chris@42 73 <div class="header">
Chris@42 74 <p>
Chris@42 75 Previous: <a href="1d-Discrete-Hartley-Transforms-_0028DHTs_0029.html#g_t1d-Discrete-Hartley-Transforms-_0028DHTs_0029" accesskey="p" rel="prev">1d Discrete Hartley Transforms (DHTs)</a>, Up: <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes" accesskey="u" rel="up">What FFTW Really Computes</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="Multi_002ddimensional-Transforms-1"></a>
Chris@42 79 <h4 class="subsection">4.8.6 Multi-dimensional Transforms</h4>
Chris@42 80
Chris@42 81 <p>The multi-dimensional transforms of FFTW, in general, compute simply the
Chris@42 82 separable product of the given 1d transform along each dimension of the
Chris@42 83 array. Since each of these transforms is unnormalized, computing the
Chris@42 84 forward followed by the backward/inverse multi-dimensional transform
Chris@42 85 will result in the original array scaled by the product of the
Chris@42 86 normalization factors for each dimension (e.g. the product of the
Chris@42 87 dimension sizes, for a multi-dimensional DFT).
Chris@42 88 </p>
Chris@42 89
Chris@42 90 <a name="index-r2c-3"></a>
Chris@42 91 <p>The definition of FFTW&rsquo;s multi-dimensional DFT of real data (r2c)
Chris@42 92 deserves special attention. In this case, we logically compute the full
Chris@42 93 multi-dimensional DFT of the input data; since the input data are purely
Chris@42 94 real, the output data have the Hermitian symmetry and therefore only one
Chris@42 95 non-redundant half need be stored. More specifically, for an n<sub>0</sub>&nbsp;&times;&nbsp;n<sub>1</sub>&nbsp;&times;&nbsp;n<sub>2</sub>&nbsp;&times;&nbsp;&hellip;&nbsp;&times;&nbsp;n<sub>d-1</sub> multi-dimensional real-input DFT, the full (logical) complex output array
Chris@42 96 <i>Y</i>[<i>k</i><sub>0</sub>, <i>k</i><sub>1</sub>, ...,
Chris@42 97 <i>k</i><sub><i>d-1</i></sub>]has the symmetry:
Chris@42 98 <i>Y</i>[<i>k</i><sub>0</sub>, <i>k</i><sub>1</sub>, ...,
Chris@42 99 <i>k</i><sub><i>d-1</i></sub>] = <i>Y</i>[<i>n</i><sub>0</sub> -
Chris@42 100 <i>k</i><sub>0</sub>, <i>n</i><sub>1</sub> - <i>k</i><sub>1</sub>, ...,
Chris@42 101 <i>n</i><sub><i>d-1</i></sub> - <i>k</i><sub><i>d-1</i></sub>]<sup>*</sup>(where each dimension is periodic). Because of this symmetry, we only
Chris@42 102 store the
Chris@42 103 <i>k</i><sub><i>d-1</i></sub> = 0...<i>n</i><sub><i>d-1</i></sub>/2+1elements of the <em>last</em> dimension (division by <em>2</em> is rounded
Chris@42 104 down). (We could instead have cut any other dimension in half, but the
Chris@42 105 last dimension proved computationally convenient.) This results in the
Chris@42 106 peculiar array format described in more detail by <a href="Real_002ddata-DFT-Array-Format.html#Real_002ddata-DFT-Array-Format">Real-data DFT Array Format</a>.
Chris@42 107 </p>
Chris@42 108 <p>The multi-dimensional c2r transform is simply the unnormalized inverse
Chris@42 109 of the r2c transform. i.e. it is the same as FFTW&rsquo;s complex backward
Chris@42 110 multi-dimensional DFT, operating on a Hermitian input array in the
Chris@42 111 peculiar format mentioned above and outputting a real array (since the
Chris@42 112 DFT output is purely real).
Chris@42 113 </p>
Chris@42 114 <p>We should remind the user that the separable product of 1d transforms
Chris@42 115 along each dimension, as computed by FFTW, is not always the same thing
Chris@42 116 as the usual multi-dimensional transform. A multi-dimensional
Chris@42 117 <code>R2HC</code> (or <code>HC2R</code>) transform is not identical to the
Chris@42 118 multi-dimensional DFT, requiring some post-processing to combine the
Chris@42 119 requisite real and imaginary parts, as was described in <a href="The-Halfcomplex_002dformat-DFT.html#The-Halfcomplex_002dformat-DFT">The Halfcomplex-format DFT</a>. Likewise, FFTW&rsquo;s multidimensional
Chris@42 120 <code>FFTW_DHT</code> r2r transform is not the same thing as the logical
Chris@42 121 multi-dimensional discrete Hartley transform defined in the literature,
Chris@42 122 as discussed in <a href="The-Discrete-Hartley-Transform.html#The-Discrete-Hartley-Transform">The Discrete Hartley Transform</a>.
Chris@42 123 </p>
Chris@42 124 <hr>
Chris@42 125 <div class="header">
Chris@42 126 <p>
Chris@42 127 Previous: <a href="1d-Discrete-Hartley-Transforms-_0028DHTs_0029.html#g_t1d-Discrete-Hartley-Transforms-_0028DHTs_0029" accesskey="p" rel="prev">1d Discrete Hartley Transforms (DHTs)</a>, Up: <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes" accesskey="u" rel="up">What FFTW Really Computes</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>
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