Performing Volterra Series based Indirect Learning Digital Pre-Distorter in Self-homodyne Detection-Reference-Cited by-同舟云学术

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Performing Volterra Series based Indirect Learning Digital Pre-Distorter in Self-homodyne Detection

Published:2023 Issue: Volume: Page:1-7
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Zheng Shuo¹^ORCID,Yang Min¹^ORCID,Yan Guofeng¹,Zhu Yanjun²,Zhang Hua³,Yao Chaonan³,Shao Yuchen³,Wang Jian¹^ORCID

Affiliation:

1. Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China

2. Hisence Broadband Inc 2580 North First Street, San Jose, USA

3. Hisence Broadband Multimedia T echnologies Co., Ltd, No.399 Songling Road, Qingdao, China

Funder

National Natural Science Foundation of China

NSF

Natural Science Foundation of Hubei Province of China

Key R&D Program of Hubei Province of China

Shenzhen Science and Technology Program

Innovation Project of Optics Valley Laboratory

Cooperation Project between Hisense Broadband and Huazhong University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/4357488/10288398.pdf?arnumber=10288398

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. Reducing the Computational Complexity of the Volterra Series Using Permutation/Product Maps;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

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