diff src/fftw-3.3.5/doc/html/Complex-One_002dDimensional-DFTs.html @ 127:7867fa7e1b6b

Current fftw source
author Chris Cannam <cannam@all-day-breakfast.com>
date Tue, 18 Oct 2016 13:40:26 +0100
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+Copyright (C) 2003 Matteo Frigo.
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+Copyright (C) 2003 Massachusetts Institute of Technology.
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+<title>FFTW 3.3.5: Complex One-Dimensional DFTs</title>
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+<a name="Complex-One_002dDimensional-DFTs"></a>
+<div class="header">
+<p>
+Next: <a href="Complex-Multi_002dDimensional-DFTs.html#Complex-Multi_002dDimensional-DFTs" accesskey="n" rel="next">Complex Multi-Dimensional DFTs</a>, Previous: <a href="Tutorial.html#Tutorial" accesskey="p" rel="prev">Tutorial</a>, Up: <a href="Tutorial.html#Tutorial" accesskey="u" rel="up">Tutorial</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="Complex-One_002dDimensional-DFTs-1"></a>
+<h3 class="section">2.1 Complex One-Dimensional DFTs</h3>
+
+<blockquote>
+<p>Plan: To bother about the best method of accomplishing an accidental result.
+[Ambrose Bierce, <cite>The Enlarged Devil&rsquo;s Dictionary</cite>.]
+<a name="index-Devil"></a>
+</p></blockquote>
+
+
+<p>The basic usage of FFTW to compute a one-dimensional DFT of size
+<code>N</code> is simple, and it typically looks something like this code:
+</p>
+<div class="example">
+<pre class="example">#include &lt;fftw3.h&gt;
+...
+{
+    fftw_complex *in, *out;
+    fftw_plan p;
+    ...
+    in = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
+    out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
+    p = fftw_plan_dft_1d(N, in, out, FFTW_FORWARD, FFTW_ESTIMATE);
+    ...
+    fftw_execute(p); /* <span class="roman">repeat as needed</span> */
+    ...
+    fftw_destroy_plan(p);
+    fftw_free(in); fftw_free(out);
+}
+</pre></div>
+
+<p>You must link this code with the <code>fftw3</code> library.  On Unix systems,
+link with <code>-lfftw3 -lm</code>.
+</p>
+<p>The example code first allocates the input and output arrays.  You can
+allocate them in any way that you like, but we recommend using
+<code>fftw_malloc</code>, which behaves like
+<a name="index-fftw_005fmalloc"></a>
+<code>malloc</code> except that it properly aligns the array when SIMD
+instructions (such as SSE and Altivec) are available (see <a href="SIMD-alignment-and-fftw_005fmalloc.html#SIMD-alignment-and-fftw_005fmalloc">SIMD alignment and fftw_malloc</a>). [Alternatively, we provide a convenient wrapper function <code>fftw_alloc_complex(N)</code> which has the same effect.]
+<a name="index-fftw_005falloc_005fcomplex"></a>
+<a name="index-SIMD"></a>
+</p>
+
+<p>The data is an array of type <code>fftw_complex</code>, which is by default a
+<code>double[2]</code> composed of the real (<code>in[i][0]</code>) and imaginary
+(<code>in[i][1]</code>) parts of a complex number.
+<a name="index-fftw_005fcomplex"></a>
+</p>
+<p>The next step is to create a <em>plan</em>, which is an object
+<a name="index-plan-1"></a>
+that contains all the data that FFTW needs to compute the FFT. 
+This function creates the plan:
+</p>
+<div class="example">
+<pre class="example">fftw_plan fftw_plan_dft_1d(int n, fftw_complex *in, fftw_complex *out,
+                           int sign, unsigned flags);
+</pre></div>
+<a name="index-fftw_005fplan_005fdft_005f1d"></a>
+<a name="index-fftw_005fplan"></a>
+
+<p>The first argument, <code>n</code>, is the size of the transform you are
+trying to compute.  The size <code>n</code> can be any positive integer, but
+sizes that are products of small factors are transformed most
+efficiently (although prime sizes still use an <i>O</i>(<i>n</i>&nbsp;log&nbsp;<i>n</i>) algorithm).
+</p>
+<p>The next two arguments are pointers to the input and output arrays of
+the transform.  These pointers can be equal, indicating an
+<em>in-place</em> transform.
+<a name="index-in_002dplace"></a>
+</p>
+
+<p>The fourth argument, <code>sign</code>, can be either <code>FFTW_FORWARD</code>
+(<code>-1</code>) or <code>FFTW_BACKWARD</code> (<code>+1</code>),
+<a name="index-FFTW_005fFORWARD"></a>
+<a name="index-FFTW_005fBACKWARD"></a>
+and indicates the direction of the transform you are interested in;
+technically, it is the sign of the exponent in the transform.  
+</p>
+<p>The <code>flags</code> argument is usually either <code>FFTW_MEASURE</code> or
+<a name="index-flags"></a>
+<code>FFTW_ESTIMATE</code>.  <code>FFTW_MEASURE</code> instructs FFTW to run
+<a name="index-FFTW_005fMEASURE"></a>
+and measure the execution time of several FFTs in order to find the
+best way to compute the transform of size <code>n</code>.  This process takes
+some time (usually a few seconds), depending on your machine and on
+the size of the transform.  <code>FFTW_ESTIMATE</code>, on the contrary,
+does not run any computation and just builds a
+<a name="index-FFTW_005fESTIMATE"></a>
+reasonable plan that is probably sub-optimal.  In short, if your
+program performs many transforms of the same size and initialization
+time is not important, use <code>FFTW_MEASURE</code>; otherwise use the
+estimate.  
+</p>
+<p><em>You must create the plan before initializing the input</em>, because
+<code>FFTW_MEASURE</code> overwrites the <code>in</code>/<code>out</code> arrays.
+(Technically, <code>FFTW_ESTIMATE</code> does not touch your arrays, but you
+should always create plans first just to be sure.)
+</p>
+<p>Once the plan has been created, you can use it as many times as you
+like for transforms on the specified <code>in</code>/<code>out</code> arrays,
+computing the actual transforms via <code>fftw_execute(plan)</code>:
+</p><div class="example">
+<pre class="example">void fftw_execute(const fftw_plan plan);
+</pre></div>
+<a name="index-fftw_005fexecute"></a>
+
+<p>The DFT results are stored in-order in the array <code>out</code>, with the
+zero-frequency (DC) component in <code>out[0]</code>.
+<a name="index-frequency"></a>
+If <code>in != out</code>, the transform is <em>out-of-place</em> and the input
+array <code>in</code> is not modified.  Otherwise, the input array is
+overwritten with the transform.
+</p>
+<a name="index-execute-1"></a>
+<p>If you want to transform a <em>different</em> array of the same size, you
+can create a new plan with <code>fftw_plan_dft_1d</code> and FFTW
+automatically reuses the information from the previous plan, if
+possible.  Alternatively, with the &ldquo;guru&rdquo; interface you can apply a
+given plan to a different array, if you are careful.
+See <a href="FFTW-Reference.html#FFTW-Reference">FFTW Reference</a>.
+</p>
+<p>When you are done with the plan, you deallocate it by calling
+<code>fftw_destroy_plan(plan)</code>:
+</p><div class="example">
+<pre class="example">void fftw_destroy_plan(fftw_plan plan);
+</pre></div>
+<a name="index-fftw_005fdestroy_005fplan"></a>
+<p>If you allocate an array with <code>fftw_malloc()</code> you must deallocate
+it with <code>fftw_free()</code>.  Do not use <code>free()</code> or, heaven
+forbid, <code>delete</code>.
+<a name="index-fftw_005ffree"></a>
+</p>
+<p>FFTW computes an <em>unnormalized</em> DFT.  Thus, computing a forward
+followed by a backward transform (or vice versa) results in the original
+array scaled by <code>n</code>.  For the definition of the DFT, see <a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes">What FFTW Really Computes</a>.
+<a name="index-DFT-1"></a>
+<a name="index-normalization"></a>
+</p>
+
+<p>If you have a C compiler, such as <code>gcc</code>, that supports the
+C99 standard, and you <code>#include &lt;complex.h&gt;</code> <em>before</em>
+<code>&lt;fftw3.h&gt;</code>, then <code>fftw_complex</code> is the native
+double-precision complex type and you can manipulate it with ordinary
+arithmetic.  Otherwise, FFTW defines its own complex type, which is
+bit-compatible with the C99 complex type. See <a href="Complex-numbers.html#Complex-numbers">Complex numbers</a>.
+(The C++ <code>&lt;complex&gt;</code> template class may also be usable via a
+typecast.)
+<a name="index-C_002b_002b"></a>
+</p>
+<p>To use single or long-double precision versions of FFTW, replace the
+<code>fftw_</code> prefix by <code>fftwf_</code> or <code>fftwl_</code> and link with
+<code>-lfftw3f</code> or <code>-lfftw3l</code>, but use the <em>same</em>
+<code>&lt;fftw3.h&gt;</code> header file.
+<a name="index-precision"></a>
+</p>
+
+<p>Many more flags exist besides <code>FFTW_MEASURE</code> and
+<code>FFTW_ESTIMATE</code>.  For example, use <code>FFTW_PATIENT</code> if you&rsquo;re
+willing to wait even longer for a possibly even faster plan (see <a href="FFTW-Reference.html#FFTW-Reference">FFTW Reference</a>).
+<a name="index-FFTW_005fPATIENT"></a>
+You can also save plans for future use, as described by <a href="Words-of-Wisdom_002dSaving-Plans.html#Words-of-Wisdom_002dSaving-Plans">Words of Wisdom-Saving Plans</a>.
+</p>
+<hr>
+<div class="header">
+<p>
+Next: <a href="Complex-Multi_002dDimensional-DFTs.html#Complex-Multi_002dDimensional-DFTs" accesskey="n" rel="next">Complex Multi-Dimensional DFTs</a>, Previous: <a href="Tutorial.html#Tutorial" accesskey="p" rel="prev">Tutorial</a>, Up: <a href="Tutorial.html#Tutorial" accesskey="u" rel="up">Tutorial</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>