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Few-Shot Modulation Classification Method Based on Feature Dimension Reduction and Pseudo-Label Training

  • Published:2020 Issue: Volume:8 Page:140411-140425
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Shi YunhaoORCID,Xu HuaORCID,Jiang LeiORCID,Liu YinghuiORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Channel and Hardware Impairment Data Augmentation for Robust Modulation Classification;IEEE Transactions on Cognitive Communications and Networking;2024-08

2. Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification;IEEE Transactions on Cognitive Communications and Networking;2023-06

4. GAF-MAE: A Self-supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder;IEEE Transactions on Cognitive Communications and Networking;2023

5. Augmented Semi-supervised Learning for CNN Based Automatic Modulation Classification;2022 IEEE 8th International Conference on Computer and Communications (ICCC);2022-12-09
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