Specific emitter identification (SEI) refers to the task of distinguishing similar emitters,
especially those of the same type and transmission parameters, which is one of the most …

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

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

Automatic Modulation Classification (AMC) has become an important component in
communication systems for both civil and defense applications. The shortcomings of …

Automatic modulation classification (AMC) enables significant applications in both the
military and civilian domains. Inspired by the great success of deep learning (DL), a dual …

Automatic modulation classification (AMC) aims at identifying the modulation of the received
signals, which is a significant approach to identifying the target in military and civil …

Automatic modulation classification (AMC) is the key technique in both military and civilian
wireless communication. However, the performance is unsatisfactory, even several deep …

In the realm of wireless communication, deep learning has exhibited promising outcomes
across various tasks, including automatic modulation classification (AMC), channel …

Automatic Modulation Classification (AMC) is a technique used to identify signal
modulations in applications like IoT devices, cognitive radar, software-defined radio, and …

Automatic modulation classification (AMC) algorithms based on deep learning (DL) have
been widely studied in the past decade, showing significant performance advantage …