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 …

In non-cooperative communication scenarios, automatic modulation classification (AMC) is
the premise of information acquisition. It has been a difficult issue for decades due to the …

Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …

BACKGROUND: Automatic modulation classification (AMC) plays a crucial role in cognitive
radio, such as industrial automation, transmitter identification, and spectrum resource …

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 …

As a backbone of deep learning models, convolutional neural networks (CNNs) are widely
used in the field of automatic modulation classification. Nevertheless, we speculate that the …

Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …

Automatic modulation classification (AMC), which plays critical roles in both civilian and
military applications, is investigated in this paper through a deep learning approach …

In this work, we investigate the feasibility and effectiveness of employing deep learning
algorithms for automatic recognition of the modulation type of received wireless …

Automatic modulation recognition (AMR) is a promising technology for intelligent
communication receivers to detect signal modulation schemes. Recently, the emerging deep …