Research graph
References from WTGNet-PhaseAug: A Lightweight Temporal Network for Robust Low-SNR Automatic Modulation Classification in Wireless Communications. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1007/978-3-319-44188-7_16
10.1007/978-3-319-44188-7_16 · 2016 · External reference
Over-the-air deep learning based radio signal classification
10.1109/jstsp.2018.2797022 · 2018 · External reference
10.1109/dyspan.2017.7920754
10.1109/dyspan.2017.7920754 · 2017 · External reference
Deep learning based automatic modulation recognition: Models, datasets, and challenges
10.1016/j.dsp.2022.103650 · 2022 · External reference
Automatic modulation classification with deep neural networks
10.3390/electronics12183962 · 2023 · External reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · 2020 · External reference
10.3115/v1/d14-1179
10.3115/v1/d14-1179 · 2014 · External reference
Automatic modulation classification using hybrid data augmentation and lightweight neural network
10.3390/s23094187 · 2023 · External reference
An efficient data augmentation method for automatic modulation recognition from low-data imbalanced-class regime
10.3390/app13053177 · 2023 · External reference
MobileRaT: A lightweight radio transformer method for automatic modulation classification in drone communication systems
10.3390/drones7100596 · 2023 · External reference
An ultra lightweight neural network for automatic modulation classification in drone communications
10.1038/s41598-024-72867-1 · 2024 · External reference
A lightweight deep learning model for automatic modulation classification using dual-path deep residual shrinkage network
10.3390/ai6080195 · 2025 · External reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · 2020 · External reference
Data augmentation for deep learning-based radio modulation classification
10.1109/access.2019.2960775 · 2020 · External reference
10.1109/acssc.2016.7869126
10.1109/acssc.2016.7869126 · 2016 · External reference
Performance analysis of different signal representations and optimizers for CNN based automatic modulation classification
10.1007/s11277-024-11722-y · 2024 · External reference
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
10.1109/tccn.2018.2835460 · 2018 · External reference
A spatiotemporal multi-channel learning framework for automatic modulation recognition
10.1109/lwc.2020.2999453 · 2020 · External reference
Automatic modulation classification using deep residual neural network with masked modeling for wireless communications
10.3390/drones7060390 · 2023 · External reference
Hybrid data augmentation and dual-stream spatiotemporal fusion neural network for automatic modulation classification in drone communications
10.3390/drones7060346 · 2023 · External reference
Ultralight convolutional neural network for automatic modulation classification in Internet of Unmanned Aerial Vehicles
10.1109/jiot.2024.3373497 · 2024 · External reference
MobileAmcT: A lightweight mobile automatic modulation classification transformer in drone communication systems
10.3390/drones8080357 · 2024 · External reference
Robust automatic modulation classification via a lightweight temporal hybrid neural network
10.3390/s24247908 · 2024 · External reference
Enhancing noise robustness in few-shot automatic modulation classification via complex-valued autoencoders
10.3390/electronics15030674 · 2026 · External reference
10.1007/978-3-319-44188-7_16
10.1007/978-3-319-44188-7_16 · ExternalCitation · doi-reference
Performance analysis of different signal representations and optimizers for CNN based automatic modulation classification
10.1007/s11277-024-11722-y · ExternalCitation · doi-reference
Deep learning based automatic modulation recognition: Models, datasets, and challenges
10.1016/j.dsp.2022.103650 · ExternalCitation · doi-reference
An ultra lightweight neural network for automatic modulation classification in drone communications
10.1038/s41598-024-72867-1 · ExternalCitation · doi-reference
Data augmentation for deep learning-based radio modulation classification
10.1109/access.2019.2960775 · ExternalCitation · doi-reference
10.1109/acssc.2016.7869126
10.1109/acssc.2016.7869126 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · ExternalCitation · doi-reference
10.1109/dyspan.2017.7920754
10.1109/dyspan.2017.7920754 · ExternalCitation · doi-reference
Ultralight convolutional neural network for automatic modulation classification in Internet of Unmanned Aerial Vehicles
10.1109/jiot.2024.3373497 · ExternalCitation · doi-reference
Over-the-air deep learning based radio signal classification
10.1109/jstsp.2018.2797022 · ExternalCitation · doi-reference
A spatiotemporal multi-channel learning framework for automatic modulation recognition
10.1109/lwc.2020.2999453 · ExternalCitation · doi-reference
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
10.1109/tccn.2018.2835460 · ExternalCitation · doi-reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · ExternalCitation · doi-reference
10.3115/v1/d14-1179
10.3115/v1/d14-1179 · ExternalCitation · doi-reference
A lightweight deep learning model for automatic modulation classification using dual-path deep residual shrinkage network
10.3390/ai6080195 · ExternalCitation · doi-reference
An efficient data augmentation method for automatic modulation recognition from low-data imbalanced-class regime
10.3390/app13053177 · ExternalCitation · doi-reference
Hybrid data augmentation and dual-stream spatiotemporal fusion neural network for automatic modulation classification in drone communications
10.3390/drones7060346 · ExternalCitation · doi-reference
Automatic modulation classification using deep residual neural network with masked modeling for wireless communications
10.3390/drones7060390 · ExternalCitation · doi-reference
MobileRaT: A lightweight radio transformer method for automatic modulation classification in drone communication systems
10.3390/drones7100596 · ExternalCitation · doi-reference
MobileAmcT: A lightweight mobile automatic modulation classification transformer in drone communication systems
10.3390/drones8080357 · ExternalCitation · doi-reference
Automatic modulation classification with deep neural networks
10.3390/electronics12183962 · ExternalCitation · doi-reference
Enhancing noise robustness in few-shot automatic modulation classification via complex-valued autoencoders
10.3390/electronics15030674 · ExternalCitation · doi-reference
Automatic modulation classification using hybrid data augmentation and lightweight neural network
10.3390/s23094187 · ExternalCitation · doi-reference
Robust automatic modulation classification via a lightweight temporal hybrid neural network
10.3390/s24247908 · ExternalCitation · doi-reference
