Abnormal Communication Signals Recognition Based on Image Enhancement and Improved Memory-Augmented Autoencoder

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2022/7228511/figures/7228511.fig.005a.svgz" name="7228511.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The original time-frequency spectrogram</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2022/7228511/figures/7228511.fig.005b.svgz" name="7228511.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The time-frequency spectrogram after image enhancement processing</td></tr></table>

<div>The time-frequency spectrogram of the <i>multitone</i> abnormal signal before and after image enhancement algorithm processing.</div>

Wireless Communications and Mobile Computing

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Figure 5

Figure 5: Abnormal Communication Signals Recognition Based on Image Enhancement and Improved Memory-Augmented Autoencoder 