Channel Pruning Method for Signal Modulation Recognition Deep Learning Models-Reference-Cited by-同舟云学术

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Channel Pruning Method for Signal Modulation Recognition Deep Learning Models

Published:2023 Issue: Volume: Page:1-1
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Chen Zhuangzhi¹^ORCID,Wang Zhangwei¹,Gao Xuzhang¹,Zhou Jinchao²,Xu Dongwei¹^ORCID,Zheng Shilian³^ORCID,Xuan Qi⁴^ORCID,Yang Xiaoniu¹^ORCID

Affiliation:

1. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

2. Cyberspace Security Institute of ZJUT, Hangzhou, China

3. Science and Technology on Communication Information Security Control Laboratory, Jiaxing, China

4. College of Information Engineering, Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

Funder

National Natural Science Foundation of China

the Key R&D Program of Zhejiang

the Major Key Project of PCL

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/7294639/10304321.pdf?arnumber=10304321

Cited by 4 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. Deep learning in wireless communications for physical layer;Physical Communication;2024-09

2. Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis;IEEE Internet of Things Journal;2024-06-15

3. Integrating Prior Knowledge and Contrast Feature for Signal Modulation Classification;IEEE Internet of Things Journal;2024-06-15

4. A Pruning Method Combined with Resilient Training to Improve the Adversarial Robustness of Automatic Modulation Classification Models;Mobile Networks and Applications;2024-05-13

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