Automatic modulation classification (AMC) is one of the most essential algorithms to identify
the modulation types for the non-cooperative communication systems. Recently, it has been …

Automatic modulation classification (AMC) is one of the most critical technologies for non-
cooperative communication systems. Recently, deep learning (DL) based AMC (DL-AMC) …

Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …

Automatic modulation classification (AMC) is a typical technology for identifying different
modulation types, which has been widely applied into various scenarios. Recently, deep …

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 …

Automatic modulation classification (AMC) is a critical algorithm for the identification of
modulation types so as to enable more accurate demodulation in the non-cooperative …

Automatic modulation classification (AMC) aims at identifying the modulation format of the
received signal. In this letter, we propose a novel grid constellation matrix (GCM)-based …

Automatic modulation recognition (AMR) is considered one of most important techniques in
the non-cooperative wireless communication systems. Traditional algorithms, eg, support …

To deal with the deep learning-based automatic modulation classification (AMC) in the
scenario that the training dataset are distributed over a network without gathering the data at …

Automatic modulation recognition (AMR) plays an important role in modern wireless
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …