Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach-Reference-Cited by-同舟云学术

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Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach

Published:2023 Issue: Volume: Page:1-5
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Cheng Yukun¹,Chen Wei¹^ORCID,Li Lun²,Ai Bo¹^ORCID

Affiliation:

1. School of Electronic and Information Engineering, the State Key Laboratory of Advanced Rail Autonomous Operation, and Frontiers Science Center for Smart High-speed Railway System, Beijing Jiaotong University, Beijing, China

2. State Key Laboratory of Mobile Network and Mobile Multimedia, Shenzhen, China

Funder

Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

ZTE Industry-University-Institute Cooperation Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10365399.pdf?arnumber=10365399

Cited by 1 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. Non-Iterative MSNN Decoder for Image Transmission over AWGN Channel using LDPC;2024 26th International Conference on Digital Signal Processing and its Applications (DSPA);2024-03-27

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