Machine Learning Techniques in Optical Communication-Reference-Cited by-同舟云学术

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Machine Learning Techniques in Optical Communication

Published:2016-03-15 Issue:6 Volume:34 Page:1442-1452
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Zibar Darko,Piels Molly,Jones Rasmus,Schaeffer Christian G.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/7425116/07359099.pdf?arnumber=7359099

Cited by 143 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. Perspective on photonic neuromorphic computing;Neuromorphic Photonic Devices and Applications;2024

2. Neuromorphic Photonics for Digital Signal Processing;2023 IEEE Photonics Conference (IPC);2023-11-12

3. Quantization of Recurrent Neural Network for Low-Complexity High-Speed IM/DD System Equalization Based on Neuron Clustering;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. Artificial neural networks for photonic applications—from algorithms to implementation: tutorial;Advances in Optics and Photonics;2023-09-22

5. Machine Learning for Self-Coherent Detection Short-Reach Optical Communications;Photonics;2023-08-31

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