86 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
		
		
			
		
	
	
			86 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			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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								<title>1d Discrete Hartley Transforms (DHTs) (FFTW 3.3.10)</title>
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								<link href="index.html" rel="start" title="Top">
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								<link href="Concept-Index.html" rel="index" title="Concept Index">
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								<link href="index.html#SEC_Contents" rel="contents" title="Table of Contents">
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								<link href="What-FFTW-Really-Computes.html" rel="up" title="What FFTW Really Computes">
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								<link href="Multi_002ddimensional-Transforms.html" rel="next" title="Multi-dimensional Transforms">
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								<link href="1d-Real_002dodd-DFTs-_0028DSTs_0029.html" rel="prev" title="1d Real-odd DFTs (DSTs)">
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								<span id="g_t1d-Discrete-Hartley-Transforms-_0028DHTs_0029"></span><div class="header">
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								<p>
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								Next: <a href="Multi_002ddimensional-Transforms.html" accesskey="n" rel="next">Multi-dimensional Transforms</a>, Previous: <a href="1d-Real_002dodd-DFTs-_0028DSTs_0029.html" accesskey="p" rel="prev">1d Real-odd DFTs (DSTs)</a>, Up: <a href="What-FFTW-Really-Computes.html" accesskey="u" rel="up">What FFTW Really Computes</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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								<hr>
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								<span id="g_t1d-Discrete-Hartley-Transforms-_0028DHTs_0029-1"></span><h4 class="subsection">4.8.5 1d Discrete Hartley Transforms (DHTs)</h4>
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								<span id="index-discrete-Hartley-transform-2"></span>
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								<span id="index-DHT-1"></span>
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								<p>The discrete Hartley transform (DHT) of a 1d real array <em>X</em> of size
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								<em>n</em> computes a real array <em>Y</em> of the same size, where:
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								<center><img src="equation-dht.png" align="top">.</center>
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								</p>
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								<span id="index-normalization-12"></span>
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								<p>FFTW computes an unnormalized transform, in that there is no coefficient
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								in front of the summation in the DHT.  In other words, applying the
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								transform twice (the DHT is its own inverse) will multiply the input by
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								<em>n</em>.
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								</p>
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