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 …

With the deployment of new 5G services, many of the critical infrastructures such as
connected vehicles, remote healthcare and smart infrastructures will be deployed on radio …

Recognition of the modulation scheme is the intermediate step between signal detection
and demodulation of the received signal in communication networks. Automatic modulation …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …

Automatic modulation recognition (AMR) has become increasingly important in the field of
signal processing, especially with the advancements of intelligent communication systems …

Deep learning has recently been successfully applied in automatic modulation classification
by extracting and classifying radio features in an end-to-end way. However, deep learning …

Abstract Convolutional Neural Networks (CNNs) are efficient tools for pattern recognition
applications. They have found applications in wireless communication systems such as …

Automatic modulation categorization (AMC) is used in many applications such as cognitive
radio, adaptive communication, electronic reconnaissance, and non-cooperative …

In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …

Radio Frequency Interference (RFI) detection and characterization play a critical role in
ensuring the security of all wireless communication networks. Advances in Machine …