Semi-supervised Learning for Automatic Modulation Recognition Using Haar Time–Frequency Mask and Positional–Spatial Attention

<div>Comparison with Sup (1%), Sup (100%), SVM [<a href="/journals/wcmc/2023/2683780/#B47">47</a>], and RF [<a href="/journals/wcmc/2023/2683780/#B48">48</a>].</div>

Wireless Communications and Mobile Computing

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Figure 5

Figure 5: Semi-supervised Learning for Automatic Modulation Recognition Using Haar Time–Frequency Mask and Positional–Spatial Attention 