Autoencoder is a neural network model which extracts the best representing features of data by performing unsupervised prelearning. Existing autoencoder approaches have been developed for applications ...

This article proposes an autoencoder-based method to enhance the information interaction between in-phase/quadrature (I/Q) channels of the input data for automatic modulation recognition (AMR). The ...