Semi-supervised learning uses labeled and unlabeled data from known classes for training, assuming the test data contains only those classes. However, in real-world scenarios, new classes can appear.

A machine learning network based on the combination of empirical parameters and convolutional neural network (CNN) is proposed to recognize the modulation types of radar emitter signals. By using the ...