With the continuous development of communication technology, the wireless communication
environment becomes more and more complex with various intentional and unintentional …

Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …

Automatic modulation classification (AMC) used in cognitive radio networks is an important
class of methods apt to utilize spectrum resources efficiently. However, conventional …

As the use of wireless communication expands demand for radio spectrum, so does the
need for effective automatic modulation recognition (AMR). Current methods of AMR include …

Automatic modulation classification (AMC) is a hot topic in modern wireless communication,
which is a classification problem essentially. The deep learning methods have been applied …

We consider orthogonal frequency division multiplexing over rapidly time-varying multipath
channels, for which performance of standard channel estimation and equalization …

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 …

Deep learning (DL) technology is an effective tool for automatic modulation recognition
(AMR) in the field of cognitive radio (CR). Most of the existing DL-based approaches usually …

Automatic modulation classification (AMC) is becoming a promising technique for future
adaptive wireless transceiver systems. The existing blind modulation classification (BMC) …

Automatic modulation classification (AMC) plays an important role in both civilian and
military applications. Today, increasingly more researchers apply a deep learning …