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Add FFTW 3.3.8 source, and a Linux build
author Chris Cannam <cannam@all-day-breakfast.com>
date Tue, 19 Nov 2019 14:52:55 +0000
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3 <!-- This manual is for FFTW
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6 Copyright (C) 2003 Matteo Frigo.
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8 Copyright (C) 2003 Massachusetts Institute of Technology.
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25 <title>FFTW 3.3.8: Complex One-Dimensional DFTs</title>
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71 <a name="Complex-One_002dDimensional-DFTs"></a>
72 <div class="header">
73 <p>
74 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>
75 </div>
76 <hr>
77 <a name="Complex-One_002dDimensional-DFTs-1"></a>
78 <h3 class="section">2.1 Complex One-Dimensional DFTs</h3>
79
80 <blockquote>
81 <p>Plan: To bother about the best method of accomplishing an accidental result.
82 [Ambrose Bierce, <cite>The Enlarged Devil&rsquo;s Dictionary</cite>.]
83 <a name="index-Devil"></a>
84 </p></blockquote>
85
86
87 <p>The basic usage of FFTW to compute a one-dimensional DFT of size
88 <code>N</code> is simple, and it typically looks something like this code:
89 </p>
90 <div class="example">
91 <pre class="example">#include &lt;fftw3.h&gt;
92 ...
93 {
94 fftw_complex *in, *out;
95 fftw_plan p;
96 ...
97 in = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
98 out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * N);
99 p = fftw_plan_dft_1d(N, in, out, FFTW_FORWARD, FFTW_ESTIMATE);
100 ...
101 fftw_execute(p); /* <span class="roman">repeat as needed</span> */
102 ...
103 fftw_destroy_plan(p);
104 fftw_free(in); fftw_free(out);
105 }
106 </pre></div>
107
108 <p>You must link this code with the <code>fftw3</code> library. On Unix systems,
109 link with <code>-lfftw3 -lm</code>.
110 </p>
111 <p>The example code first allocates the input and output arrays. You can
112 allocate them in any way that you like, but we recommend using
113 <code>fftw_malloc</code>, which behaves like
114 <a name="index-fftw_005fmalloc"></a>
115 <code>malloc</code> except that it properly aligns the array when SIMD
116 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.]
117 <a name="index-fftw_005falloc_005fcomplex"></a>
118 <a name="index-SIMD"></a>
119 </p>
120
121 <p>The data is an array of type <code>fftw_complex</code>, which is by default a
122 <code>double[2]</code> composed of the real (<code>in[i][0]</code>) and imaginary
123 (<code>in[i][1]</code>) parts of a complex number.
124 <a name="index-fftw_005fcomplex"></a>
125 </p>
126 <p>The next step is to create a <em>plan</em>, which is an object
127 <a name="index-plan-1"></a>
128 that contains all the data that FFTW needs to compute the FFT.
129 This function creates the plan:
130 </p>
131 <div class="example">
132 <pre class="example">fftw_plan fftw_plan_dft_1d(int n, fftw_complex *in, fftw_complex *out,
133 int sign, unsigned flags);
134 </pre></div>
135 <a name="index-fftw_005fplan_005fdft_005f1d"></a>
136 <a name="index-fftw_005fplan"></a>
137
138 <p>The first argument, <code>n</code>, is the size of the transform you are
139 trying to compute. The size <code>n</code> can be any positive integer, but
140 sizes that are products of small factors are transformed most
141 efficiently (although prime sizes still use an <i>O</i>(<i>n</i>&nbsp;log&nbsp;<i>n</i>)
142 algorithm).
143 </p>
144 <p>The next two arguments are pointers to the input and output arrays of
145 the transform. These pointers can be equal, indicating an
146 <em>in-place</em> transform.
147 <a name="index-in_002dplace"></a>
148 </p>
149
150 <p>The fourth argument, <code>sign</code>, can be either <code>FFTW_FORWARD</code>
151 (<code>-1</code>) or <code>FFTW_BACKWARD</code> (<code>+1</code>),
152 <a name="index-FFTW_005fFORWARD"></a>
153 <a name="index-FFTW_005fBACKWARD"></a>
154 and indicates the direction of the transform you are interested in;
155 technically, it is the sign of the exponent in the transform.
156 </p>
157 <p>The <code>flags</code> argument is usually either <code>FFTW_MEASURE</code> or
158 <a name="index-flags"></a>
159 <code>FFTW_ESTIMATE</code>. <code>FFTW_MEASURE</code> instructs FFTW to run
160 <a name="index-FFTW_005fMEASURE"></a>
161 and measure the execution time of several FFTs in order to find the
162 best way to compute the transform of size <code>n</code>. This process takes
163 some time (usually a few seconds), depending on your machine and on
164 the size of the transform. <code>FFTW_ESTIMATE</code>, on the contrary,
165 does not run any computation and just builds a
166 <a name="index-FFTW_005fESTIMATE"></a>
167 reasonable plan that is probably sub-optimal. In short, if your
168 program performs many transforms of the same size and initialization
169 time is not important, use <code>FFTW_MEASURE</code>; otherwise use the
170 estimate.
171 </p>
172 <p><em>You must create the plan before initializing the input</em>, because
173 <code>FFTW_MEASURE</code> overwrites the <code>in</code>/<code>out</code> arrays.
174 (Technically, <code>FFTW_ESTIMATE</code> does not touch your arrays, but you
175 should always create plans first just to be sure.)
176 </p>
177 <p>Once the plan has been created, you can use it as many times as you
178 like for transforms on the specified <code>in</code>/<code>out</code> arrays,
179 computing the actual transforms via <code>fftw_execute(plan)</code>:
180 </p><div class="example">
181 <pre class="example">void fftw_execute(const fftw_plan plan);
182 </pre></div>
183 <a name="index-fftw_005fexecute"></a>
184
185 <p>The DFT results are stored in-order in the array <code>out</code>, with the
186 zero-frequency (DC) component in <code>out[0]</code>.
187 <a name="index-frequency"></a>
188 If <code>in != out</code>, the transform is <em>out-of-place</em> and the input
189 array <code>in</code> is not modified. Otherwise, the input array is
190 overwritten with the transform.
191 </p>
192 <a name="index-execute-1"></a>
193 <p>If you want to transform a <em>different</em> array of the same size, you
194 can create a new plan with <code>fftw_plan_dft_1d</code> and FFTW
195 automatically reuses the information from the previous plan, if
196 possible. Alternatively, with the &ldquo;guru&rdquo; interface you can apply a
197 given plan to a different array, if you are careful.
198 See <a href="FFTW-Reference.html#FFTW-Reference">FFTW Reference</a>.
199 </p>
200 <p>When you are done with the plan, you deallocate it by calling
201 <code>fftw_destroy_plan(plan)</code>:
202 </p><div class="example">
203 <pre class="example">void fftw_destroy_plan(fftw_plan plan);
204 </pre></div>
205 <a name="index-fftw_005fdestroy_005fplan"></a>
206 <p>If you allocate an array with <code>fftw_malloc()</code> you must deallocate
207 it with <code>fftw_free()</code>. Do not use <code>free()</code> or, heaven
208 forbid, <code>delete</code>.
209 <a name="index-fftw_005ffree"></a>
210 </p>
211 <p>FFTW computes an <em>unnormalized</em> DFT. Thus, computing a forward
212 followed by a backward transform (or vice versa) results in the original
213 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>.
214 <a name="index-DFT-1"></a>
215 <a name="index-normalization"></a>
216 </p>
217
218 <p>If you have a C compiler, such as <code>gcc</code>, that supports the
219 C99 standard, and you <code>#include &lt;complex.h&gt;</code> <em>before</em>
220 <code>&lt;fftw3.h&gt;</code>, then <code>fftw_complex</code> is the native
221 double-precision complex type and you can manipulate it with ordinary
222 arithmetic. Otherwise, FFTW defines its own complex type, which is
223 bit-compatible with the C99 complex type. See <a href="Complex-numbers.html#Complex-numbers">Complex numbers</a>.
224 (The C++ <code>&lt;complex&gt;</code> template class may also be usable via a
225 typecast.)
226 <a name="index-C_002b_002b"></a>
227 </p>
228 <p>To use single or long-double precision versions of FFTW, replace the
229 <code>fftw_</code> prefix by <code>fftwf_</code> or <code>fftwl_</code> and link with
230 <code>-lfftw3f</code> or <code>-lfftw3l</code>, but use the <em>same</em>
231 <code>&lt;fftw3.h&gt;</code> header file.
232 <a name="index-precision"></a>
233 </p>
234
235 <p>Many more flags exist besides <code>FFTW_MEASURE</code> and
236 <code>FFTW_ESTIMATE</code>. For example, use <code>FFTW_PATIENT</code> if you&rsquo;re
237 willing to wait even longer for a possibly even faster plan (see <a href="FFTW-Reference.html#FFTW-Reference">FFTW Reference</a>).
238 <a name="index-FFTW_005fPATIENT"></a>
239 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>.
240 </p>
241 <hr>
242 <div class="header">
243 <p>
244 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>
245 </div>
246
247
248
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250 </html>