240 lines
		
	
	
		
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			240 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
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								<html>
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								<!-- This manual is for FFTW
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								(version 3.3.10, 10 December 2020).
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								Copyright (C) 2003 Matteo Frigo.
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								Copyright (C) 2003 Massachusetts Institute of Technology.
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								Permission is granted to make and distribute verbatim copies of this
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								Permission is granted to copy and distribute modified versions of this
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								<title>Complex One-Dimensional DFTs (FFTW 3.3.10)</title>
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								<body lang="en">
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								<span id="Complex-One_002dDimensional-DFTs"></span><div class="header">
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								<p>
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								Next: <a href="Complex-Multi_002dDimensional-DFTs.html" accesskey="n" rel="next">Complex Multi-Dimensional DFTs</a>, Previous: <a href="Tutorial.html" accesskey="p" rel="prev">Tutorial</a>, Up: <a href="Tutorial.html" accesskey="u" rel="up">Tutorial</a>   [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html" title="Index" rel="index">Index</a>]</p>
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								</div>
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								<hr>
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								<span id="Complex-One_002dDimensional-DFTs-1"></span><h3 class="section">2.1 Complex One-Dimensional DFTs</h3>
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								<blockquote>
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								<p>Plan: To bother about the best method of accomplishing an accidental result.
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								[Ambrose Bierce, <cite>The Enlarged Devil’s Dictionary</cite>.]
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								<span id="index-Devil"></span>
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								</p></blockquote>
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								<p>The basic usage of FFTW to compute a one-dimensional DFT of size
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								<code>N</code> is simple, and it typically looks something like this code:
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								</p>
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								<div class="example">
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								<pre class="example">#include <fftw3.h>
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								...
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								{
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								    fftw_complex *in, *out;
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								    fftw_plan p;
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								    ...
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								    in = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
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								    out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
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								    p = fftw_plan_dft_1d(N, in, out, FFTW_FORWARD, FFTW_ESTIMATE);
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								    ...
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								    fftw_execute(p); /* <span class="roman">repeat as needed</span> */
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								    ...
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								    fftw_destroy_plan(p);
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								    fftw_free(in); fftw_free(out);
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								}
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								</pre></div>
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								<p>You must link this code with the <code>fftw3</code> library.  On Unix systems,
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								link with <code>-lfftw3 -lm</code>.
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								</p>
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								<p>The example code first allocates the input and output arrays.  You can
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								allocate them in any way that you like, but we recommend using
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								<code>fftw_malloc</code>, which behaves like
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								<span id="index-fftw_005fmalloc"></span>
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								<code>malloc</code> except that it properly aligns the array when SIMD
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								instructions (such as SSE and Altivec) are available (see <a href="SIMD-alignment-and-fftw_005fmalloc.html">SIMD alignment and fftw_malloc</a>). [Alternatively, we provide a convenient wrapper function <code>fftw_alloc_complex(N)</code> which has the same effect.]
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								<span id="index-fftw_005falloc_005fcomplex"></span>
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								<span id="index-SIMD"></span>
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								</p>
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								<p>The data is an array of type <code>fftw_complex</code>, which is by default a
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								<code>double[2]</code> composed of the real (<code>in[i][0]</code>) and imaginary
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								(<code>in[i][1]</code>) parts of a complex number.
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								<span id="index-fftw_005fcomplex"></span>
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								</p>
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								<p>The next step is to create a <em>plan</em>, which is an object
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								<span id="index-plan-1"></span>
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								that contains all the data that FFTW needs to compute the FFT. 
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								This function creates the plan:
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								</p>
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								<div class="example">
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								<pre class="example">fftw_plan fftw_plan_dft_1d(int n, fftw_complex *in, fftw_complex *out,
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								                           int sign, unsigned flags);
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								</pre></div>
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								<span id="index-fftw_005fplan_005fdft_005f1d"></span>
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								<span id="index-fftw_005fplan"></span>
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								<p>The first argument, <code>n</code>, is the size of the transform you are
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								trying to compute.  The size <code>n</code> can be any positive integer, but
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								sizes that are products of small factors are transformed most
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								efficiently (although prime sizes still use an <i>O</i>(<i>n</i> log <i>n</i>)
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								 algorithm).
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								</p>
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								<p>The next two arguments are pointers to the input and output arrays of
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								the transform.  These pointers can be equal, indicating an
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								<em>in-place</em> transform.
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								<span id="index-in_002dplace"></span>
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								</p>
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								<p>The fourth argument, <code>sign</code>, can be either <code>FFTW_FORWARD</code>
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								(<code>-1</code>) or <code>FFTW_BACKWARD</code> (<code>+1</code>),
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								<span id="index-FFTW_005fFORWARD"></span>
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								<span id="index-FFTW_005fBACKWARD"></span>
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								and indicates the direction of the transform you are interested in;
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								technically, it is the sign of the exponent in the transform.  
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								</p>
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								<p>The <code>flags</code> argument is usually either <code>FFTW_MEASURE</code> or
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								<span id="index-flags"></span>
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								<code>FFTW_ESTIMATE</code>.  <code>FFTW_MEASURE</code> instructs FFTW to run
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								<span id="index-FFTW_005fMEASURE"></span>
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								and measure the execution time of several FFTs in order to find the
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								best way to compute the transform of size <code>n</code>.  This process takes
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								some time (usually a few seconds), depending on your machine and on
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								the size of the transform.  <code>FFTW_ESTIMATE</code>, on the contrary,
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								does not run any computation and just builds a
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								<span id="index-FFTW_005fESTIMATE"></span>
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								reasonable plan that is probably sub-optimal.  In short, if your
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								program performs many transforms of the same size and initialization
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								time is not important, use <code>FFTW_MEASURE</code>; otherwise use the
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								estimate.  
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								</p>
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								<p><em>You must create the plan before initializing the input</em>, because
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								<code>FFTW_MEASURE</code> overwrites the <code>in</code>/<code>out</code> arrays.
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								(Technically, <code>FFTW_ESTIMATE</code> does not touch your arrays, but you
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								should always create plans first just to be sure.)
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								</p>
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								<p>Once the plan has been created, you can use it as many times as you
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								like for transforms on the specified <code>in</code>/<code>out</code> arrays,
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								computing the actual transforms via <code>fftw_execute(plan)</code>:
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								</p><div class="example">
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								<pre class="example">void fftw_execute(const fftw_plan plan);
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								</pre></div>
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								<span id="index-fftw_005fexecute"></span>
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								<p>The DFT results are stored in-order in the array <code>out</code>, with the
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								zero-frequency (DC) component in <code>out[0]</code>.
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								<span id="index-frequency"></span>
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								If <code>in != out</code>, the transform is <em>out-of-place</em> and the input
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								array <code>in</code> is not modified.  Otherwise, the input array is
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								overwritten with the transform.
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								</p>
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								<span id="index-execute-1"></span>
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								<p>If you want to transform a <em>different</em> array of the same size, you
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								can create a new plan with <code>fftw_plan_dft_1d</code> and FFTW
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								automatically reuses the information from the previous plan, if
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								possible.  Alternatively, with the “guru” interface you can apply a
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								given plan to a different array, if you are careful.
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								See <a href="FFTW-Reference.html">FFTW Reference</a>.
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								</p>
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								<p>When you are done with the plan, you deallocate it by calling
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								<code>fftw_destroy_plan(plan)</code>:
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								</p><div class="example">
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								<pre class="example">void fftw_destroy_plan(fftw_plan plan);
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								</pre></div>
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								<span id="index-fftw_005fdestroy_005fplan"></span>
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								<p>If you allocate an array with <code>fftw_malloc()</code> you must deallocate
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								it with <code>fftw_free()</code>.  Do not use <code>free()</code> or, heaven
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								forbid, <code>delete</code>.
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								<span id="index-fftw_005ffree"></span>
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								</p>
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								<p>FFTW computes an <em>unnormalized</em> DFT.  Thus, computing a forward
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								followed by a backward transform (or vice versa) results in the original
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								array scaled by <code>n</code>.  For the definition of the DFT, see <a href="What-FFTW-Really-Computes.html">What FFTW Really Computes</a>.
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								<span id="index-DFT-1"></span>
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								<span id="index-normalization"></span>
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								</p>
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								<p>If you have a C compiler, such as <code>gcc</code>, that supports the
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								C99 standard, and you <code>#include <complex.h></code> <em>before</em>
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								<code><fftw3.h></code>, then <code>fftw_complex</code> is the native
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								double-precision complex type and you can manipulate it with ordinary
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								arithmetic.  Otherwise, FFTW defines its own complex type, which is
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								bit-compatible with the C99 complex type. See <a href="Complex-numbers.html">Complex numbers</a>.
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								(The C++ <code><complex></code> template class may also be usable via a
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								typecast.)
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								<span id="index-C_002b_002b"></span>
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								</p>
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								<p>To use single or long-double precision versions of FFTW, replace the
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								<code>fftw_</code> prefix by <code>fftwf_</code> or <code>fftwl_</code> and link with
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								<code>-lfftw3f</code> or <code>-lfftw3l</code>, but use the <em>same</em>
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								<code><fftw3.h></code> header file.
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								<span id="index-precision"></span>
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								</p>
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								<p>Many more flags exist besides <code>FFTW_MEASURE</code> and
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								<code>FFTW_ESTIMATE</code>.  For example, use <code>FFTW_PATIENT</code> if you’re
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								willing to wait even longer for a possibly even faster plan (see <a href="FFTW-Reference.html">FFTW Reference</a>).
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								<span id="index-FFTW_005fPATIENT"></span>
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								You can also save plans for future use, as described by <a href="Words-of-Wisdom_002dSaving-Plans.html">Words of Wisdom-Saving Plans</a>.
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								</p>
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								<hr>
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								<div class="header">
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								<p>
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								Next: <a href="Complex-Multi_002dDimensional-DFTs.html" accesskey="n" rel="next">Complex Multi-Dimensional DFTs</a>, Previous: <a href="Tutorial.html" accesskey="p" rel="prev">Tutorial</a>, Up: <a href="Tutorial.html" accesskey="u" rel="up">Tutorial</a>   [<a href="index.html#SEC_Contents" title="Table of contents" rel="contents">Contents</a>][<a href="Concept-Index.html" title="Index" rel="index">Index</a>]</p>
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