diff Lib/fftw-3.2.1/doc/html/.svn/text-base/Real_002ddata-DFTs.html.svn-base @ 15:585caf503ef5 tip

Tidy up for ROLI
author Geogaddi\David <d.m.ronan@qmul.ac.uk>
date Tue, 17 May 2016 18:50:19 +0100
parents 636c989477e7
children
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--- a/Lib/fftw-3.2.1/doc/html/.svn/text-base/Real_002ddata-DFTs.html.svn-base	Wed May 04 11:02:59 2016 +0100
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-<title>Real-data DFTs - FFTW 3.2.1</title>
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-<hr>
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-
-<h4 class="subsection">4.3.3 Real-data DFTs</h4>
-
-<pre class="example">     fftw_plan fftw_plan_dft_r2c_1d(int n,
-                                    double *in, fftw_complex *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_r2c_2d(int n0, int n1,
-                                    double *in, fftw_complex *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_r2c_3d(int n0, int n1, int n2,
-                                    double *in, fftw_complex *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_r2c(int rank, const int *n,
-                                 double *in, fftw_complex *out,
-                                 unsigned flags);
-</pre>
-   <p><a name="index-fftw_005fplan_005fdft_005fr2c_005f1d-176"></a><a name="index-fftw_005fplan_005fdft_005fr2c_005f2d-177"></a><a name="index-fftw_005fplan_005fdft_005fr2c_005f3d-178"></a><a name="index-fftw_005fplan_005fdft_005fr2c-179"></a><a name="index-r2c-180"></a>
-Plan a real-input/complex-output discrete Fourier transform (DFT) in
-zero or more dimensions, returning an <code>fftw_plan</code> (see <a href="Using-Plans.html#Using-Plans">Using Plans</a>).
-
-   <p>Once you have created a plan for a certain transform type and
-parameters, then creating another plan of the same type and parameters,
-but for different arrays, is fast and shares constant data with the
-first plan (if it still exists).
-
-   <p>The planner returns <code>NULL</code> if the plan cannot be created.  A
-non-<code>NULL</code> plan is always returned by the basic interface unless
-you are using a customized FFTW configuration supporting a restricted
-set of transforms, or if you use the <code>FFTW_PRESERVE_INPUT</code> flag
-with a multi-dimensional out-of-place c2r transform (see below).
-
-<h5 class="subsubheading">Arguments</h5>
-
-     <ul>
-<li><code>rank</code> is the dimensionality of the transform (it should be the
-size of the array <code>*n</code>), and can be any non-negative integer.  The
-`<samp><span class="samp">_1d</span></samp>', `<samp><span class="samp">_2d</span></samp>', and `<samp><span class="samp">_3d</span></samp>' planners correspond to a
-<code>rank</code> of <code>1</code>, <code>2</code>, and <code>3</code>, respectively.  A
-<code>rank</code> of zero is equivalent to a transform of size 1, i.e. a copy
-of one number (with zero imaginary part) from input to output.
-
-     <li><code>n</code>, or <code>n0</code>/<code>n1</code>/<code>n2</code>, or <code>n[rank]</code>,
-respectively, gives the size of the <em>logical</em> transform dimensions. 
-They can be any positive integer.  This is different in general from the
-<em>physical</em> array dimensions, which are described in <a href="Real_002ddata-DFT-Array-Format.html#Real_002ddata-DFT-Array-Format">Real-data DFT Array Format</a>.
-
-          <ul>
-<li>FFTW is best at handling sizes of the form
-2<sup>a</sup> 3<sup>b</sup> 5<sup>c</sup> 7<sup>d</sup>
-        11<sup>e</sup> 13<sup>f</sup>,where e+f is either 0 or 1, and the other exponents
-are arbitrary.  Other sizes are computed by means of a slow,
-general-purpose algorithm (which nevertheless retains <i>O</i>(<i>n</i>&nbsp;log&nbsp;<i>n</i>)
-
-          <p>performance even for prime sizes).  (It is possible to customize FFTW
-for different array sizes; see <a href="Installation-and-Customization.html#Installation-and-Customization">Installation and Customization</a>.) 
-Transforms whose sizes are powers of 2 are especially fast, and
-it is generally beneficial for the <em>last</em> dimension of an r2c/c2r
-transform to be <em>even</em>. 
-</ul>
-
-     <li><code>in</code> and <code>out</code> point to the input and output arrays of the
-transform, which may be the same (yielding an in-place transform). 
-<a name="index-in_002dplace-181"></a>These arrays are overwritten during planning, unless
-<code>FFTW_ESTIMATE</code> is used in the flags.  (The arrays need not be
-initialized, but they must be allocated.)  For an in-place transform, it
-is important to remember that the real array will require padding,
-described in <a href="Real_002ddata-DFT-Array-Format.html#Real_002ddata-DFT-Array-Format">Real-data DFT Array Format</a>. 
-<a name="index-padding-182"></a>
-<li><a name="index-flags-183"></a><code>flags</code> is a bitwise OR (`<samp><span class="samp">|</span></samp>') of zero or more planner flags,
-as defined in <a href="Planner-Flags.html#Planner-Flags">Planner Flags</a>.
-
-</ul>
-
-   <p>The inverse transforms, taking complex input (storing the non-redundant
-half of a logically Hermitian array) to real output, are given by:
-
-<pre class="example">     fftw_plan fftw_plan_dft_c2r_1d(int n,
-                                    fftw_complex *in, double *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_c2r_2d(int n0, int n1,
-                                    fftw_complex *in, double *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_c2r_3d(int n0, int n1, int n2,
-                                    fftw_complex *in, double *out,
-                                    unsigned flags);
-     fftw_plan fftw_plan_dft_c2r(int rank, const int *n,
-                                 fftw_complex *in, double *out,
-                                 unsigned flags);
-</pre>
-   <p><a name="index-fftw_005fplan_005fdft_005fc2r_005f1d-184"></a><a name="index-fftw_005fplan_005fdft_005fc2r_005f2d-185"></a><a name="index-fftw_005fplan_005fdft_005fc2r_005f3d-186"></a><a name="index-fftw_005fplan_005fdft_005fc2r-187"></a><a name="index-c2r-188"></a>
-The arguments are the same as for the r2c transforms, except that the
-input and output data formats are reversed.
-
-   <p>FFTW computes an unnormalized transform: computing an r2c followed by a
-c2r transform (or vice versa) will result in the original data
-multiplied by the size of the transform (the product of the logical
-dimensions). 
-<a name="index-normalization-189"></a>An r2c transform produces the same output as a <code>FFTW_FORWARD</code>
-complex DFT of the same input, and a c2r transform is correspondingly
-equivalent to <code>FFTW_BACKWARD</code>.  For more information, see <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes">What FFTW Really Computes</a>.
-
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