With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve 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 …

Internet of Things (IoT) networks are often subject to many malicious attacks in untrusted
environments, and automatic modulation classification (AMC) is an effective way to combat …

Encounters between humans and wildlife often lead to injuries, especially in remote
wilderness regions, and highways. Therefore, animal detection is a vital safety and wildlife …

The 5G and beyond wireless networks will be more dynamic and heterogeneous, which
needs to work on multistrand waveforms. One of the most significant challenges in such a …

This paper presents a novel deep-learning (DL)-based approach for classifying digitally
modulated signals, which involves the use of capsule networks (CAPs) together with the …

With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …

Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing …

In this letter, we propose a novel deep learning-based spectrum sensing scheme using a
multi-antenna receiver. Our main idea is constructing a correlation matrix composed of not …

The paper studies the problem of robust classification of digitally modulated signals using
capsule networks and cyclic cumulant (CC) features extracted by cyclostationary signal …