Research graph
References from Vision Transformer for Modulation Classification in Wireless Communication. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2015 · External reference
On the likelihood-based approach to modulation classification
10.1109/twc.2009.12.080883 · 2009 · External reference
Survey of automatic modulation classification techniques: Classical approaches and new trends
10.1049/iet-com:20050176 · 2007 · External reference
Cumulants-based modulation classification technique in multipath fading channels
10.1049/iet-com.2014.0773 · 2015 · External reference
Convolutional radio modulation recognition networks
2016 · External reference
Deep architectures for modulation recognition
2017 · External reference
Modulation classification using convolutional neural network-based deep learning model
2017 · External reference
MCNet: an efficient CNN architecture for robust automatic modulation classification
10.1109/lcomm.2020.2968030 · 2020 · External reference
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
10.1109/tccn.2018.2835460 · 2018 · External reference
Automatic modulation classification using recurrent neural networks
2017 · External reference
CGDNet: efficient hybrid deep learning model for robust automatic modulation recognition
10.1109/lnet.2021.3057637 · 2021 · External reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · 2020 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
10.1109/iccv51070.2023.00553
10.1109/iccv51070.2023.00553 · External reference
A survey on vision transformer
10.1109/tpami.2022.3152247 · 2023 · External reference
Signal modulation classification based on the transformer network
10.1109/tccn.2022.3176640 · 2022 · External reference
MCformer: a transformer based deep neural network for automatic modulation classification
2021 · External reference
Automatic modulation classification based on CNN-transformer graph neural network
10.3390/s23167281 · 2023 · External reference
VT-MCNet: high-accuracy automatic modulation classification model based on vision transformer
10.1109/lcomm.2023.3336985 · 2024 · External reference
NMFormer: a Transformer for Noisy Modulation Classification in Wireless Communication
2024 · External reference
Vision transformer with adversarial indicator token against adversarial attacks in radio signal classifications
10.1109/jiot.2025.3580194 · 2025 · External reference
CoSwinVIT: A vision transformer for enhanced uniform spectrum response in specific emitter identification
10.1109/tifs.2025.3565999 · 2026 · External reference
Enhancing automatic modulation recognition for IoT applications using transformers
10.3390/iot5020011 · 2024 · External reference
Research on Automatic Modulation Recognition using Vision Transformer
2024 · External reference
Data augmentation for deep learning-based radio modulation classification
10.1109/access.2019.2960775 · 2020 · External reference
The use of confidence or fiducial limits illustrated in the case of the binomial
10.1093/biomet/26.4.404 · 1934 · External reference
Modulation classification using convolutional neural networks and spatial transformer networks
2017 · External reference
Deep learning for modulation recognition: A survey with a demonstration
10.1109/access.2020.2986330 · 2020 · External reference
Unresolved reference
External reference
A hybrid neural network for fast automatic modulation classification
10.1109/access.2020.3009471 · 2020 · External reference
Cumulants-based modulation classification technique in multipath fading channels
10.1049/iet-com.2014.0773 · ExternalCitation · doi-reference
Survey of automatic modulation classification techniques: Classical approaches and new trends
10.1049/iet-com:20050176 · ExternalCitation · doi-reference
The use of confidence or fiducial limits illustrated in the case of the binomial
10.1093/biomet/26.4.404 · ExternalCitation · doi-reference
Data augmentation for deep learning-based radio modulation classification
10.1109/access.2019.2960775 · ExternalCitation · doi-reference
Deep learning for modulation recognition: A survey with a demonstration
10.1109/access.2020.2986330 · ExternalCitation · doi-reference
A hybrid neural network for fast automatic modulation classification
10.1109/access.2020.3009471 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · ExternalCitation · doi-reference
10.1109/iccv51070.2023.00553
10.1109/iccv51070.2023.00553 · ExternalCitation · doi-reference
Vision transformer with adversarial indicator token against adversarial attacks in radio signal classifications
10.1109/jiot.2025.3580194 · ExternalCitation · doi-reference
MCNet: an efficient CNN architecture for robust automatic modulation classification
10.1109/lcomm.2020.2968030 · ExternalCitation · doi-reference
VT-MCNet: high-accuracy automatic modulation classification model based on vision transformer
10.1109/lcomm.2023.3336985 · ExternalCitation · doi-reference
CGDNet: efficient hybrid deep learning model for robust automatic modulation recognition
10.1109/lnet.2021.3057637 · ExternalCitation · doi-reference
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
10.1109/tccn.2018.2835460 · ExternalCitation · doi-reference
Signal modulation classification based on the transformer network
10.1109/tccn.2022.3176640 · ExternalCitation · doi-reference
CoSwinVIT: A vision transformer for enhanced uniform spectrum response in specific emitter identification
10.1109/tifs.2025.3565999 · ExternalCitation · doi-reference
A survey on vision transformer
10.1109/tpami.2022.3152247 · ExternalCitation · doi-reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · ExternalCitation · doi-reference
On the likelihood-based approach to modulation classification
10.1109/twc.2009.12.080883 · ExternalCitation · doi-reference
Enhancing automatic modulation recognition for IoT applications using transformers
10.3390/iot5020011 · ExternalCitation · doi-reference
Automatic modulation classification based on CNN-transformer graph neural network
10.3390/s23167281 · ExternalCitation · doi-reference
