A Fast Multi-Loss Learning Deep Neural Network for Automatic Modulation Classification
Automatic modulation classification (AMC) enables significant applications in both the
military and civilian domains. Inspired by the great success of deep learning (DL), a dual …
military and civilian domains. Inspired by the great success of deep learning (DL), a dual …
A hierarchical classification head based convolutional gated deep neural network for automatic modulation classification
Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …
without prior knowledge of the intercepted signal, which enables significant applications in …
Cross model deep learning scheme for automatic modulation classification
Deep Neural Networks (DNNs) have achieved remarkable accuracy improvements for
automatic modulation classification. However, the employed networks often have millions of …
automatic modulation classification. However, the employed networks often have millions of …
[HTML][HTML] CrossTLNet: A Multitask-Learning-Empowered Neural Network with Temporal Convolutional Network–Long Short-Term Memory for Automatic Modulation …
G Gao, X Hu, B Li, W Wang, FM Ghannouchi - Electronics, 2023 - mdpi.com
Amidst the evolving landscape of non-cooperative communication, automatic modulation
classification (AMC) stands as an essential pillar, enabling adaptive and reliable signal …
classification (AMC) stands as an essential pillar, enabling adaptive and reliable signal …
A three-stream cnn-lstm network for automatic modulation classification
R Liang, L Yang, S Wu, H Li… - 2021 13th International …, 2021 - ieeexplore.ieee.org
Deep learning (DL) has been used more and more in the field of automatic modulation
classification (AMC) in recent years, but there are still many areas for improvement. In this …
classification (AMC) in recent years, but there are still many areas for improvement. In this …
A hybrid neural network for fast automatic modulation classification
R Lin, W Ren, X Sun, Z Yang, K Fu - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) plays a key role in cognitive radio. For AMC,
convolutional neural networks (CNNs) have been explored in previous works extensively …
convolutional neural networks (CNNs) have been explored in previous works extensively …
RanNet: Learning residual-attention structure in CNNs for automatic modulation classification
With the rapid emergence of advanced technologies for wireless communications, automatic
modulation classification (AMC) has been deployed in the physical layer to blindly identify …
modulation classification (AMC) has been deployed in the physical layer to blindly identify …
A convolutional and transformer based deep neural network for automatic modulation classification
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 …
signals, which is a significant approach to identifying the target in military and civil …
Mcformer: A transformer based deep neural network for automatic modulation classification
S Hamidi-Rad, S Jain - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
In this paper, we propose MCformer-a novel deep neural network for the automatic
modulation classification task of complex-valued raw radio signals. MCformer architecture …
modulation classification task of complex-valued raw radio signals. MCformer architecture …
Dense layer dropout based CNN architecture for automatic modulation classification
P Dileep, D Das, PK Bora - 2020 national conference on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an important part of signal identification for
cognitive radio as well as military communication. The problem has been approached …
cognitive radio as well as military communication. The problem has been approached …