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| cannam@95 | 49 <a name="1d-Discrete-Hartley-Transforms-(DHTs)"></a> | 
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| cannam@95 | 58 <h4 class="subsection">4.8.5 1d Discrete Hartley Transforms (DHTs)</h4> | 
| cannam@95 | 59 | 
| cannam@95 | 60 <p><a name="index-discrete-Hartley-transform-322"></a><a name="index-DHT-323"></a>The discrete Hartley transform (DHT) of a 1d real array X of size | 
| cannam@95 | 61 n computes a real array Y of the same size, where: | 
| cannam@95 | 62 <center><img src="equation-dht.png" align="top">.</center> | 
| cannam@95 | 63 | 
| cannam@95 | 64    <p><a name="index-normalization-324"></a>FFTW computes an unnormalized transform, in that there is no coefficient | 
| cannam@95 | 65 in front of the summation in the DHT.  In other words, applying the | 
| cannam@95 | 66 transform twice (the DHT is its own inverse) will multiply the input by | 
| cannam@95 | 67 n. | 
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