Deep learning (DL) has recently aroused substantial concern due to its successful
implementations in many fields. Currently, there are few studies on the applications of DL in …

With the rapid development of the information technology, the number of devices in the
Internet of Things (IoT) is increasing explosively, which makes device identification a great …

Automatic modulation recognition (AMR) plays a vital role in modern communication
systems. This letter proposes a novel three-stream deep learning framework to extract the …

Automatic modulation classification (AMC) is becoming increasingly important in spectrum
monitoring and cognitive radio. However, most existing modulation classification algorithms …

This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic
modulation classification (AMC) deployed for cognitive radio services of modern …

In low signal-to-noise ratio (SNR) environments, the traditional radar emitter recognition
(RER) method struggles to recognize multiple radar emitter signals in parallel. This paper …

The development of the Internet-of-Things (IoT) security is comparatively slower than the
pace of the IoT innovations. The seamless IoT network operates in an untrusted environment …

In this letter, we introduce CGDNet, a cost-efficient hybrid neural network composed of a
shallow convolutional network, a gated recurrent unit, and a deep neural network, for robust …

Radio broadcasting plays an important role in our daily life. Meanwhile, with the
development of wireless communications, the application of software-defined radio …

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 …