Signal set expansion based on GAN

Generating confrontation network is a hot research direction of artificial intelligence. With the rise of deep learning, generative adversarial networks have become a breakthrough development. Big data plays a very important role in life, in order to increase the diversity of signal data, artificial intelligence method is used to generate a variety of modulation signals through GAN to achieve the purpose of expanding the signal data set. By providing the original square wave signal as input to the generator, the modulated signal is used as the input of the discriminator, a new signal is generated by the GAN network, and the task of expanding the data set is finally completed.