DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization
Q Zheng, X Tian, Z Yu, H Wang, A Elhanashi… - … Applications of Artificial …, 2023 - Elsevier
Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …
development of cognitive radios. It is the cornerstone of adaptive modulation and …
A data preprocessing method for automatic modulation classification based on CNN
H Zhang, M Huang, J Yang… - IEEE Communications …, 2020 - ieeexplore.ieee.org
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 …
used in the field of automatic modulation classification. Nevertheless, we speculate that the …
Automatic modulation recognition based on adaptive attention mechanism and ResNeXt WSL model
Z Liang, M Tao, L Wang, J Su… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays an important role in modern wireless
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
communication. In this letter, a novel framework for AMR is proposed. The ResNeXt network …
Multi-task learning for generalized automatic modulation classification under non-Gaussian noise with varying SNR conditions
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 …
modulation types so as to enable more accurate demodulation in the non-cooperative …
Deep cascading network architecture for robust automatic modulation classification
BACKGROUND: Automatic modulation classification (AMC) plays a crucial role in cognitive
radio, such as industrial automation, transmitter identification, and spectrum resource …
radio, such as industrial automation, transmitter identification, and spectrum resource …
Automatic modulation classification scheme based on LSTM with random erasing and attention mechanism
Y Chen, W Shao, J Liu, L Yu, Z Qian - IEEE access, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a key technology of cognitive radio used in non-
cooperative communication. Recently, deep learning has been applied to AMC tasks. In this …
cooperative communication. Recently, deep learning has been applied to AMC tasks. In this …
Automatic modulation classification using deep residual neural network with masked modeling for wireless communications
Y Peng, L Guo, J Yan, M Tao, X Fu, Y Lin, G Gui - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …
the modulation type of unknown signals without prior information such as modulation …
Automatic modulation classification: A deep learning enabled approach
Automatic modulation classification (AMC), which plays critical roles in both civilian and
military applications, is investigated in this paper through a deep learning approach …
military applications, is investigated in this paper through a deep learning approach …
Complex-valued networks for automatic modulation classification
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 …
classification (AMC). However, most recent DL based AMC works are based on real-valued …
Multitask-learning-based deep neural network for automatic modulation classification
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 …
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …