Specific emitter identification (SEI) and automatic modulation classification (AMC) are
generally two separate tasks in the field of radio monitoring. Both tasks have similarities in …

Automatic modulation classification (AMC) is a critical task in industrial cognitive
communication systems. Existing state-of-the-art methods, typified by real-valued …

With the advancement of 5G technology, wireless communication resources such as
channels and spectrum become scarce. This necessitates ensuring the efficiency and …

The automatic modulation classification (AMC) of a detected signal has gained considerable
prominence in recent years owing to its numerous facilities. Numerous studies have focused …

Wireless signal recognition is becoming increasingly more significant for spectrum
monitoring, spectrum management, and secure communications. Consequently, it will …

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

The past decade has witnessed the rapid development of deep neural networks (DNNs) for
automatic modulation classification (AMC). However, most of the available works learn …

Wireless signal characterization is a growing area of research and an essential tool to
enable spectrum monitoring, tactical signal recognition, spectrum management, signal …

Automatic modulation classification (AMC) is a crucial stage in the spectrum management,
signal monitoring, and control of wireless communication systems. The accurate …

With the advancement of Internet of Things technology, the need for sophisticated signal
modulation classification (SMC) has intensified, ensuring seamless communication and …