diff Lib/fftw-3.2.1/doc/html/.svn/text-base/The-Discrete-Hartley-Transform.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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-
-<h4 class="subsection">2.5.3 The Discrete Hartley Transform</h4>
-
-<p>The discrete Hartley transform (DHT) is an invertible linear transform
-closely related to the DFT.  In the DFT, one multiplies each input by
-cos - i * sin (a complex exponential), whereas in the DHT each
-input is multiplied by simply cos + sin.  Thus, the DHT
-transforms <code>n</code> real numbers to <code>n</code> real numbers, and has the
-convenient property of being its own inverse.  In FFTW, a DHT (of any
-positive <code>n</code>) can be specified by an r2r kind of <code>FFTW_DHT</code>. 
-<a name="index-FFTW_005fDHT-97"></a><a name="index-discrete-Hartley-transform-98"></a><a name="index-DHT-99"></a>
-If you are planning to use the DHT because you've heard that it is
-&ldquo;faster&rdquo; than the DFT (FFT), <strong>stop here</strong>.  That story is an old
-but enduring misconception that was debunked in 1987: a properly
-designed real-input FFT (such as FFTW's) has no more operations in
-general than an FHT.  Moreover, in FFTW, the DHT is ordinarily
-<em>slower</em> than the DFT for composite sizes (see below).
-
-   <p>Like the DFT, in FFTW the DHT is unnormalized, so computing a DHT of
-size <code>n</code> followed by another DHT of the same size will result in
-the original array multiplied by <code>n</code>. 
-<a name="index-normalization-100"></a>
-The DHT was originally proposed as a more efficient alternative to the
-DFT for real data, but it was subsequently shown that a specialized DFT
-(such as FFTW's r2hc or r2c transforms) could be just as fast.  In FFTW,
-the DHT is actually computed by post-processing an r2hc transform, so
-there is ordinarily no reason to prefer it from a performance
-perspective.<a rel="footnote" href="#fn-1" name="fnd-1"><sup>1</sup></a>
-However, we have heard rumors that the DHT might be the most appropriate
-transform in its own right for certain applications, and we would be
-very interested to hear from anyone who finds it useful.
-
-   <p>If <code>FFTW_DHT</code> is specified for multiple dimensions of a
-multi-dimensional transform, FFTW computes the separable product of 1d
-DHTs along each dimension.  Unfortunately, this is not quite the same
-thing as a true multi-dimensional DHT; you can compute the latter, if
-necessary, with at most <code>rank-1</code> post-processing passes
-[see e.g. H. Hao and R. N. Bracewell, <i>Proc. IEEE</i> <b>75</b>, 264&ndash;266 (1987)].
-
-   <p>For the precise mathematical definition of the DHT as used by FFTW, see
-<a href="What-FFTW-Really-Computes.html#What-FFTW-Really-Computes">What FFTW Really Computes</a>.
-
-<!-- ************************************************************ -->
-<div class="footnote">
-<hr>
-<h4>Footnotes</h4><p class="footnote"><small>[<a name="fn-1" href="#fnd-1">1</a>]</small> We provide the DHT mainly as a byproduct of some
-internal algorithms. FFTW computes a real input/output DFT of
-<em>prime</em> size by re-expressing it as a DHT plus post/pre-processing
-and then using Rader's prime-DFT algorithm adapted to the DHT.</p>
-
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