Research Article
Identification of Shortwave Radio Communication Behavior Based on Autocorrelation Spectrogram Features
| Step | Training process |
| Step1 | send the feature matrix obtained by Table 2 to the two inputs of the network | Step2 | convolutional calculations, obtain two outputs and , both of them have 256 dimensions | Step3 | consider and as two new inputs, and through the add layer, is obtained, | Step4 | let pass through the last few layers, the communication behavior identification is completed |
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