Identification of Shortwave Radio Communication Behavior Based on Autocorrelation Spectrogram Features

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Batch size</td><td class="align_center">Time(s)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">64</td><td class="align_center">4.079</td></tr><tr><td class="align_left">32</td><td class="align_center">5.055</td></tr><tr><td class="align_left">16</td><td class="align_center">8.044</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Training time for a single epoch.</div>

Wireless Communications and Mobile Computing

tab4

Table 4

Table 4: Identification of Shortwave Radio Communication Behavior Based on Autocorrelation Spectrogram Features 