文献
J-GLOBAL ID:201802249178602505
整理番号:18A2108558
機械学習に基づく等化による20G級光学デバイスを用いた100Gb/s/λIM-DD PON【JST・京大機械翻訳】
$100¥text{Gb}/¥mathrm{s}/¥lambda$ IM-DD PON Using 20G-Class Optical Devices by Machine Learning Based Equalization
著者 (4件):
Yi Lilin
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai, 200240, China)
,
Li Peixuan
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai, 200240, China)
,
Liao Tao
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai, 200240, China)
,
Hu Weisheng
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai, 200240, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
ECOC
ページ:
1-3
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)