文献
J-GLOBAL ID:202202271966209077
整理番号:22A0287155
深層学習支援光IM/DD OFDMはRF-OFDMのスループットをアプローチする【JST・京大機械翻訳】
Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM
著者 (7件):
Van Luong Thien
(Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam)
,
Zhang Xiaoyu
(School of Electronics and Computer Science and Optoelectronics Research Centre, University of Southampton, Southampton, U.K.)
,
Xiang Luping
(School of Electronics and Computer Science, University of Southampton, Southampton, U.K.)
,
Hoang Tiep M.
(School of Electronics and Computer Science, University of Southampton, Southampton, U.K.)
,
Xu Chao
(School of Electronics and Computer Science, University of Southampton, Southampton, U.K.)
,
Petropoulos Periklis
(Optoelectronics Research Centre, University of Southampton, Southampton, U.K.)
,
Hanzo Lajos
(School of Electronics and Computer Science, University of Southampton, Southampton, U.K.)
資料名:
IEEE Journal on Selected Areas in Communications
(IEEE Journal on Selected Areas in Communications)
巻:
40
号:
1
ページ:
212-226
発行年:
2022年
JST資料番号:
A0908B
ISSN:
0733-8716
CODEN:
ISACEM
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)