文献
J-GLOBAL ID:202002218273279517
整理番号:20A2551609
生成敵対ネットワークに基づく電磁信号分類:半教師つき学習フレームワーク【JST・京大機械翻訳】
Generative adversarial network-based electromagnetic signal classification: A semi-supervised learning framework
著者 (6件):
Zhou Huaji
(Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an 710071, China; Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China)
,
Jiao Licheng
(Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an 710071, China)
,
Zheng Shilian
(Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China)
,
Yang Lifeng
(Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China)
,
Shen Weiguo
(Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China)
,
Yang Xiaoniu
(Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China)
資料名:
China Communications
(China Communications)
巻:
17
号:
10
ページ:
157-169
発行年:
2020年
JST資料番号:
W2359A
ISSN:
1673-5447
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
中国 (CHN)
言語:
英語 (EN)