Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML
Published in: | Optical Fiber Technology |
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Language: | English |
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Elsevier BV
2021
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Online Access: | http://dx.doi.org/10.1016/j.yofte.2021.102724 https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/plain |
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crelsevierbv:10.1016/j.yofte.2021.102724 2023-09-05T13:19:05+02:00 Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML Wang, Lei Zeng, Xiangye Wang, Jingyi Gao, Dongqi Bai, Mengshuai Hebei Provincial Department of Bureau of Science and Technology 2021 http://dx.doi.org/10.1016/j.yofte.2021.102724 https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Optical Fiber Technology volume 67, page 102724 ISSN 1068-5200 Electrical and Electronic Engineering Electronic, Optical and Magnetic Materials Atomic and Molecular Physics, and Optics Instrumentation Control and Systems Engineering journal-article 2021 crelsevierbv https://doi.org/10.1016/j.yofte.2021.102724 2023-08-23T16:45:32Z Article in Journal/Newspaper DML ScienceDirect (Elsevier - via Crossref) Optical Fiber Technology 67 102724 |
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Open Polar |
collection |
ScienceDirect (Elsevier - via Crossref) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Electrical and Electronic Engineering Electronic, Optical and Magnetic Materials Atomic and Molecular Physics, and Optics Instrumentation Control and Systems Engineering |
spellingShingle |
Electrical and Electronic Engineering Electronic, Optical and Magnetic Materials Atomic and Molecular Physics, and Optics Instrumentation Control and Systems Engineering Wang, Lei Zeng, Xiangye Wang, Jingyi Gao, Dongqi Bai, Mengshuai Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
topic_facet |
Electrical and Electronic Engineering Electronic, Optical and Magnetic Materials Atomic and Molecular Physics, and Optics Instrumentation Control and Systems Engineering |
author2 |
Hebei Provincial Department of Bureau of Science and Technology |
format |
Article in Journal/Newspaper |
author |
Wang, Lei Zeng, Xiangye Wang, Jingyi Gao, Dongqi Bai, Mengshuai |
author_facet |
Wang, Lei Zeng, Xiangye Wang, Jingyi Gao, Dongqi Bai, Mengshuai |
author_sort |
Wang, Lei |
title |
Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
title_short |
Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
title_full |
Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
title_fullStr |
Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
title_full_unstemmed |
Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML |
title_sort |
low-complexity nonlinear equalizer based on artificial neural network for 112 gbit/s pam-4 transmission using dml |
publisher |
Elsevier BV |
publishDate |
2021 |
url |
http://dx.doi.org/10.1016/j.yofte.2021.102724 https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1068520021002741?httpAccept=text/plain |
genre |
DML |
genre_facet |
DML |
op_source |
Optical Fiber Technology volume 67, page 102724 ISSN 1068-5200 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 |
op_doi |
https://doi.org/10.1016/j.yofte.2021.102724 |
container_title |
Optical Fiber Technology |
container_volume |
67 |
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102724 |
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1776199895465590784 |