diff Lib/fftw-3.2.1/doc/html/.svn/text-base/The-1d-Real_002ddata-DFT.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/The-1d-Real_002ddata-DFT.html.svn-base	Wed May 04 11:02:59 2016 +0100
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-<h4 class="subsection">4.8.2 The 1d Real-data DFT</h4>
-
-<p>The real-input (r2c) DFT in FFTW computes the <em>forward</em> transform
-Y of the size <code>n</code> real array X, exactly as defined
-above, i.e. 
-<center><img src="equation-dft.png" align="top">.</center>This output array Y can easily be shown to possess the
-&ldquo;Hermitian&rdquo; symmetry
-<a name="index-Hermitian-286"></a><i>Y<sub>k</sub> = Y<sub>n-k</sub></i><sup>*</sup>,where we take Y to be periodic so that
-<i>Y<sub>n</sub> = Y</i><sub>0</sub>.
-
-   <p>As a result of this symmetry, half of the output Y is redundant
-(being the complex conjugate of the other half), and so the 1d r2c
-transforms only output elements 0<small class="dots">...</small>n/2 of Y
-(n/2+1 complex numbers), where the division by 2 is
-rounded down.
-
-   <p>Moreover, the Hermitian symmetry implies that
-<i>Y</i><sub>0</sub>and, if n is even, the
-<i>Y</i><sub><i>n</i>/2</sub>element, are purely real.  So, for the <code>R2HC</code> r2r transform, these
-elements are not stored in the halfcomplex output format. 
-<a name="index-r2r-287"></a><a name="index-R2HC-288"></a><a name="index-halfcomplex-format-289"></a>
-The c2r and <code>H2RC</code> r2r transforms compute the backward DFT of the
-<em>complex</em> array X with Hermitian symmetry, stored in the
-r2c/<code>R2HC</code> output formats, respectively, where the backward
-transform is defined exactly as for the complex case:
-<center><img src="equation-idft.png" align="top">.</center>The outputs <code>Y</code> of this transform can easily be seen to be purely
-real, and are stored as an array of real numbers.
-
-   <p><a name="index-normalization-290"></a>Like FFTW's complex DFT, these transforms are unnormalized.  In other
-words, applying the real-to-complex (forward) and then the
-complex-to-real (backward) transform will multiply the input by
-n.
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