Spiking Neural Network Equalizer With Fast and Low Power Decoding for IM/DD Optical Communication-Reference-Cited by-同舟云学术

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Spiking Neural Network Equalizer With Fast and Low Power Decoding for IM/DD Optical Communication

Published:2024-09-01 Issue:17 Volume:36 Page:1061-1064
ISSN:1041-1135
Container-title:IEEE Photonics Technology Letters
language:
Short-container-title:IEEE Photon. Technol. Lett.

Author:

Li Shuangxu¹^ORCID,Böcherer Georg¹^ORCID,Calabrò Stefano¹^ORCID,Schädler Maximilian¹^ORCID

Affiliation:

1. Optical and Quantum Laboratory, German Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/68/10604707/10587264.pdf?arnumber=10587264

Reference10 articles.

1. The End of Moore's Law: A New Beginning for Information Technology

2. Recent Advances in Low-Power Digital Signal Processing Technologies for Data Center Applications

3. TDECQ-Based Optimization of Nonlinear Digital Pre-Distorters for VCSEL-MMF Optical Links Using End-to-End Learning

4. Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

5. Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

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