Recent years have witnessed a surge of developments in deep learning (DL) motivated by a
variety of contemporary applications. The conventional DL-based automatic modulation …

The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Automatic modulation classification (AMC) is an important technology in military signal
reconnaissance and civilian communications such as cognitive radios. Most of the existing …

Automatic modulation classification (AMC) is a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …

Automatic modulation classification (AMC) can generally be divided into knowledge-based
methods and data-driven methods. In this paper, we explore combining the knowledge …

Recently, deep learning (DL) based automatic modulation classification (AMC) has received
much attention. Various network structures with higher complexity are utilized to boost the …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Automatic modulation recognition (AMR) plays an important role in cognitive radio and
dynamic spectrum access, which has been widely applied in military and civilian …

With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …

Deep learning has recently attracted much attention due to its excellent performance in
processing audio, image, and video data. However, few studies are devoted to the field of …