A Transformer-Based Contrastive Semi-Supervised Learning Framework for Automatic Modulation Recognition
Author:
Affiliation:
1. State Key Laboratory on ISN, School of Telecommunications Engineering, Xidian University, Xi’an, Shaanxi, China
2. Academy of Military Sciences, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/10210428/10093837.pdf?arnumber=10093837
Reference37 articles.
1. Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition
2. LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference
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5. Radio Classify Generative Adversarial Networks: A Semi-supervised Method for Modulation Recognition
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