A Complex-Valued Transformer for Automatic Modulation Recognition
Author:
Affiliation:
1. College of Electronic Science and Technology, National University of Defense Technology, Changsha, China
2. National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6488907/10551641/10475669.pdf?arnumber=10475669
Reference42 articles.
1. On the likelihood-based approach to modulation classification
2. Novel Automatic Modulation Classification Using Cumulant Features for Communications via Multipath Channels
3. Convolutional Radio Modulation Recognition Networks
4. MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification
5. Deep neural network architectures for modulation classification
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