Toward the Automatic Modulation Classification With Adaptive Wavelet Network
With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …
modulation classification (AMC) has played an increasing role in the complex wireless …
[HTML][HTML] Automatic modulation classification using hybrid data augmentation and lightweight neural network
F Wang, T Shang, C Hu, Q Liu - Sensors, 2023 - mdpi.com
Automatic modulation classification (AMC) plays an important role in intelligent wireless
communications. With the rapid development of deep learning in recent years, neural …
communications. With the rapid development of deep learning in recent years, neural …
Amc-net: An effective network for automatic modulation classification
Automatic modulation classification (AMC) is a crucial stage in the spectrum management,
signal monitoring, and control of wireless communication systems. The accurate …
signal monitoring, and control of wireless communication systems. The accurate …
Dive into deep learning based automatic modulation classification: A disentangled approach
Recently, deep learning (DL) based automatic modulation classification (AMC) has received
much attention. Various network structures with higher complexity are utilized to boost the …
much attention. Various network structures with higher complexity are utilized to boost the …
Automatic modulation classification using involution enabled residual networks
Automatic modulation classification (AMC) is of crucial importance for realizing wireless
intelligence communications. Many deep learning based models especially convolution …
intelligence communications. Many deep learning based models especially convolution …
Multiscale correlation networks based on deep learning for automatic modulation classification
J Xiao, Y Wang, D Zhang, Q Ma… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is a challenging yet significant technique for
communication systems. Deep learning methods, though widely employed for AMC, are …
communication systems. Deep learning methods, though widely employed for AMC, are …
[HTML][HTML] A novel automatic modulation classification method using attention mechanism and hybrid parallel neural network
R Zhang, Z Yin, Z Wu, S Zhou - Applied Sciences, 2021 - mdpi.com
Automatic Modulation Classification (AMC) is of paramount importance in wireless
communication systems. Existing methods usually adopt a single category of neural network …
communication systems. Existing methods usually adopt a single category of neural network …
A noise-robust modulation signal classification method based on continuous wavelet transform
C Peng, W Cheng, Z Song… - 2020 IEEE 5th Information …, 2020 - ieeexplore.ieee.org
The feature extraction of Automatic Modulation Classification (AMC) is difficult, and the
classification performance is poor, particularly for low SNRs and fading channels. To solve …
classification performance is poor, particularly for low SNRs and fading channels. To solve …
Toward next-generation signal intelligence: A hybrid knowledge and data-driven deep learning framework for radio signal classification
S Zheng, X Zhou, L Zhang, P Qi, K Qiu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) can generally be divided into knowledge-based
methods and data-driven methods. In this paper, we explore combining the knowledge …
methods and data-driven methods. In this paper, we explore combining the knowledge …
MM-Net: A Multi-Modal approach towards Automatic Modulation Classification
K Triaridis, C Doumanidis… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) has become an important component in
communication systems for both civil and defense applications. The shortcomings of …
communication systems for both civil and defense applications. The shortcomings of …