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

Identifying the modulation type of radio signals is challenging in both military and civilian
applications such as radio monitoring and spectrum allocation. This has become more …

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 …

Recently, deep learning (DL) is an innovative machine learning (ML) technique that has
gained the outstanding achievements in computer vision and natural language processing …

Recognizing signals is critical for understanding the increasingly crowded wireless spectrum
space in noncooperative communications. Traditional threshold or pattern recognition …

Automatic modulation recognition (AMR) plays a vital role in non-cooperative
communication systems, which is an important technological component of blind signal …

Automatic modulation classification (AMC) is a useful technology for Internet of Things
devices to automatically distinguish the modulation scheme of the received signal. Recently …

Automatic Modulation Classification (AMC) is a crucial task in the field of wireless
communication, allowing for the identification of the modulation scheme of a received radio …

Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …

Signal detection and modulation classification are two crucial tasks in various wireless
communication systems. Different from prior works that investigate them independently, this …