Fig. 4From: An automatic modulation classification network for IoT terminal spectrum monitoring under zero-sample situationsThe network architecture of SigZSLNet. WGAN-GP can generate the feature data of the unseen (missing) classes, D is the discriminator, and G is the generator. The classifier consists of a fully connected layer with the neuron number 128 and a softmax layer with the class 7Back to article page