In the last years, a major transition from analog to digital modulation techniques has occurred and it can be seen in all areas of wireless communication, satellite and cellular systems. This paper ...

Abstract: Deep learning techniques, such as deep neural networks (DNNs), have proven highly effective in addressing various automatic modulation classification challenges. However, their computational ...

Abstract: The advent of modern communication systems has led to the widespread application of deep learning-based automatic modulation recognition (DL-AMR) in wireless communications. However, ...

Modulation advances have fueled more efficient use of bandwidth, although conventional modulation formats still require allowance for upper and lower sidebands around the carrier frequency. Ultra ...

A Python monorepo with multiple packages for building an Adapative Coding and Modulation simulation environment. The intent is to develop an ACM communications link and implement reinforcement ...