diff src/fftw-3.3.3/doc/html/More-DFTs-of-Real-Data.html @ 95:89f5e221ed7b

Add FFTW3
author Chris Cannam <cannam@all-day-breakfast.com>
date Wed, 20 Mar 2013 15:35:50 +0000
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+<title>More DFTs of Real Data - FFTW 3.3.3</title>
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+<p>
+Previous:&nbsp;<a rel="previous" accesskey="p" href="Multi_002dDimensional-DFTs-of-Real-Data.html#Multi_002dDimensional-DFTs-of-Real-Data">Multi-Dimensional DFTs of Real Data</a>,
+Up:&nbsp;<a rel="up" accesskey="u" href="Tutorial.html#Tutorial">Tutorial</a>
+<hr>
+</div>
+
+<h3 class="section">2.5 More DFTs of Real Data</h3>
+
+<ul class="menu">
+<li><a accesskey="1" href="The-Halfcomplex_002dformat-DFT.html#The-Halfcomplex_002dformat-DFT">The Halfcomplex-format DFT</a>
+<li><a accesskey="2" href="Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029.html#Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029">Real even/odd DFTs (cosine/sine transforms)</a>
+<li><a accesskey="3" href="The-Discrete-Hartley-Transform.html#The-Discrete-Hartley-Transform">The Discrete Hartley Transform</a>
+</ul>
+
+<p>FFTW supports several other transform types via a unified <dfn>r2r</dfn>
+(real-to-real) interface,
+<a name="index-r2r-65"></a>so called because it takes a real (<code>double</code>) array and outputs a
+real array of the same size.  These r2r transforms currently fall into
+three categories: DFTs of real input and complex-Hermitian output in
+halfcomplex format, DFTs of real input with even/odd symmetry
+(a.k.a. discrete cosine/sine transforms, DCTs/DSTs), and discrete
+Hartley transforms (DHTs), all described in more detail by the
+following sections.
+
+   <p>The r2r transforms follow the by now familiar interface of creating an
+<code>fftw_plan</code>, executing it with <code>fftw_execute(plan)</code>, and
+destroying it with <code>fftw_destroy_plan(plan)</code>.  Furthermore, all
+r2r transforms share the same planner interface:
+
+<pre class="example">     fftw_plan fftw_plan_r2r_1d(int n, double *in, double *out,
+                                fftw_r2r_kind kind, unsigned flags);
+     fftw_plan fftw_plan_r2r_2d(int n0, int n1, double *in, double *out,
+                                fftw_r2r_kind kind0, fftw_r2r_kind kind1,
+                                unsigned flags);
+     fftw_plan fftw_plan_r2r_3d(int n0, int n1, int n2,
+                                double *in, double *out,
+                                fftw_r2r_kind kind0,
+                                fftw_r2r_kind kind1,
+                                fftw_r2r_kind kind2,
+                                unsigned flags);
+     fftw_plan fftw_plan_r2r(int rank, const int *n, double *in, double *out,
+                             const fftw_r2r_kind *kind, unsigned flags);
+</pre>
+   <p><a name="index-fftw_005fplan_005fr2r_005f1d-66"></a><a name="index-fftw_005fplan_005fr2r_005f2d-67"></a><a name="index-fftw_005fplan_005fr2r_005f3d-68"></a><a name="index-fftw_005fplan_005fr2r-69"></a>
+Just as for the complex DFT, these plan 1d/2d/3d/multi-dimensional
+transforms for contiguous arrays in row-major order, transforming (real)
+input to output of the same size, where <code>n</code> specifies the
+<em>physical</em> dimensions of the arrays.  All positive <code>n</code> are
+supported (with the exception of <code>n=1</code> for the <code>FFTW_REDFT00</code>
+kind, noted in the real-even subsection below); products of small
+factors are most efficient (factorizing <code>n-1</code> and <code>n+1</code> for
+<code>FFTW_REDFT00</code> and <code>FFTW_RODFT00</code> kinds, described below), but
+an <i>O</i>(<i>n</i>&nbsp;log&nbsp;<i>n</i>) algorithm is used even for prime sizes.
+
+   <p>Each dimension has a <dfn>kind</dfn> parameter, of type
+<code>fftw_r2r_kind</code>, specifying the kind of r2r transform to be used
+for that dimension. 
+<a name="index-kind-_0028r2r_0029-70"></a><a name="index-fftw_005fr2r_005fkind-71"></a>(In the case of <code>fftw_plan_r2r</code>, this is an array <code>kind[rank]</code>
+where <code>kind[i]</code> is the transform kind for the dimension
+<code>n[i]</code>.)  The kind can be one of a set of predefined constants,
+defined in the following subsections.
+
+   <p>In other words, FFTW computes the separable product of the specified
+r2r transforms over each dimension, which can be used e.g. for partial
+differential equations with mixed boundary conditions.  (For some r2r
+kinds, notably the halfcomplex DFT and the DHT, such a separable
+product is somewhat problematic in more than one dimension, however,
+as is described below.)
+
+   <p>In the current version of FFTW, all r2r transforms except for the
+halfcomplex type are computed via pre- or post-processing of
+halfcomplex transforms, and they are therefore not as fast as they
+could be.  Since most other general DCT/DST codes employ a similar
+algorithm, however, FFTW's implementation should provide at least
+competitive performance.
+
+<!-- =========> -->
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+