Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification-Reference-Cited by-同舟云学术

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Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification

Published:2021-11-29 Issue: Volume: Page:
ISSN:
Container-title:MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)
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Author:

Liu Dongxin,Wang Peng,Wang Tianshi,Abdelzaher Tarek

Funder

Army Research Laboratory

NSF

Boeing Company

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9652874/9652880/09652914.pdf?arnumber=9652914

Cited by 22 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. SSL-LRN: A Lightweight Semi-Supervised-Learning-Based Approach for UWA Modulation Recognition;Journal of Marine Science and Engineering;2024-08-04

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

3. Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised Learning;Information Technology and Control;2024-06-26

4. A Self-Supervised Method for Accelerated Training of Neural Communication Receivers;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

5. Achieving Efficient Feature Representation for Modulation Signal: A Cooperative Contrast Learning Approach;IEEE Internet of Things Journal;2024-05-01

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