diff src/fftw-3.3.8/doc/html/Multi_002ddimensional-Transforms.html @ 82:d0c2a83c1364

Add FFTW 3.3.8 source, and a Linux build
author Chris Cannam
date Tue, 19 Nov 2019 14:52:55 +0000
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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+<!-- This manual is for FFTW
+(version 3.3.8, 24 May 2018).
+
+Copyright (C) 2003 Matteo Frigo.
+
+Copyright (C) 2003 Massachusetts Institute of Technology.
+
+Permission is granted to make and distribute verbatim copies of this
+manual provided the copyright notice and this permission notice are
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+
+Permission is granted to copy and distribute modified versions of this
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+<head>
+<title>FFTW 3.3.8: Multi-dimensional Transforms</title>
+
+<meta name="description" content="FFTW 3.3.8: Multi-dimensional Transforms">
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+<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
+<link href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes" rel="up" title="What FFTW Really Computes">
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+<link href="1d-Discrete-Hartley-Transforms-_0028DHTs_0029.html#g_t1d-Discrete-Hartley-Transforms-_0028DHTs_0029" rel="prev" title="1d Discrete Hartley Transforms (DHTs)">
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+<body lang="en">
+<a name="Multi_002ddimensional-Transforms"></a>
+<div class="header">
+<p>
+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>
+</div>
+<hr>
+<a name="Multi_002ddimensional-Transforms-1"></a>
+<h4 class="subsection">4.8.6 Multi-dimensional Transforms</h4>
+
+<p>The multi-dimensional transforms of FFTW, in general, compute simply the
+separable product of the given 1d transform along each dimension of the
+array.  Since each of these transforms is unnormalized, computing the
+forward followed by the backward/inverse multi-dimensional transform
+will result in the original array scaled by the product of the
+normalization factors for each dimension (e.g. the product of the
+dimension sizes, for a multi-dimensional DFT).
+</p>
+
+<a name="index-r2c-3"></a>
+<p>The definition of FFTW&rsquo;s multi-dimensional DFT of real data (r2c)
+deserves special attention.  In this case, we logically compute the full
+multi-dimensional DFT of the input data; since the input data are purely
+real, the output data have the Hermitian symmetry and therefore only one
+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
+<i>Y</i>[<i>k</i><sub>0</sub>, <i>k</i><sub>1</sub>, ...,
+<i>k</i><sub><i>d-1</i></sub>]
+has the symmetry:
+<i>Y</i>[<i>k</i><sub>0</sub>, <i>k</i><sub>1</sub>, ...,
+<i>k</i><sub><i>d-1</i></sub>] = <i>Y</i>[<i>n</i><sub>0</sub> -
+<i>k</i><sub>0</sub>, <i>n</i><sub>1</sub> - <i>k</i><sub>1</sub>, ...,
+<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
+store the
+<i>k</i><sub><i>d-1</i></sub> = 0...<i>n</i><sub><i>d-1</i></sub>/2+1
+elements of the <em>last</em> dimension (division by <em>2</em> is rounded
+down).  (We could instead have cut any other dimension in half, but the
+last dimension proved computationally convenient.)  This results in the
+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>.
+</p>
+<p>The multi-dimensional c2r transform is simply the unnormalized inverse
+of the r2c transform.  i.e. it is the same as FFTW&rsquo;s complex backward
+multi-dimensional DFT, operating on a Hermitian input array in the
+peculiar format mentioned above and outputting a real array (since the
+DFT output is purely real).
+</p>
+<p>We should remind the user that the separable product of 1d transforms
+along each dimension, as computed by FFTW, is not always the same thing
+as the usual multi-dimensional transform.  A multi-dimensional
+<code>R2HC</code> (or <code>HC2R</code>) transform is not identical to the
+multi-dimensional DFT, requiring some post-processing to combine the
+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
+<code>FFTW_DHT</code> r2r transform is not the same thing as the logical
+multi-dimensional discrete Hartley transform defined in the literature,
+as discussed in <a href="The-Discrete-Hartley-Transform.html#The-Discrete-Hartley-Transform">The Discrete Hartley Transform</a>.
+</p>
+<hr>
+<div class="header">
+<p>
+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>
+</div>
+
+
+
+</body>
+</html>