Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels-Reference-Cited by-同舟云学术

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Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Huynh-The Thien,Hua Cam-Hao,Doan Van-Sang,Pham Quoc-Viet,Nguyen Toan-Van,Kim Dong-Seong

Funder

National Research Foundation

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9289075/9289076/09289413.pdf?arnumber=9289413

Cited by 7 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. Detection and Classification of Pulsed Doppler Radar Signals Using Deep Learning;2024 International Conference on Global Aeronautical Engineering and Satellite Technology (GAST);2024-04-24

2. Combined Signal Representations for Modulation Classification Using Deep Learning: Ambiguity Function, Constellation Diagram, and Eye Diagram;2023 32nd Wireless and Optical Communications Conference (WOCC);2023-05-05

3. Adversarial Machine Learning in Wireless Communications Using RF Data: A Review;IEEE Communications Surveys & Tutorials;2023

4. MM-Net: A Multi-Modal approach towards Automatic Modulation Classification;IEEE Communications Letters;2023

5. Modulation Classification in a Multipath Fading Channel Using Deep Learning: 16QAM, 32QAM and 64QAM;2021 30th Wireless and Optical Communications Conference (WOCC);2021-10-07

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