Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization

Bowen Liu, Changwoo Lee, Ang Cao +1

We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals. The compressed signal is represented as a late…