文献
J-GLOBAL ID:202202278707028004
整理番号:22A0787627
回路アーキテクチャと機械学習アルゴリズムの進歩により可能になったアナログ/混合信号回路合成【JST・京大機械翻訳】
Analog/Mixed-Signal Circuit Synthesis Enabled by the Advancements of Circuit Architectures and Machine Learning Algorithms
著者 (6件):
Su Shiyu
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
,
Zhang Qiaochu
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
,
Hassanpourghadi Mohsen
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
,
Liu Juzheng
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
,
Rasul Rezwan A
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
,
Chen Mike Shuo-Wei
(University of Southern California,Ming Hsieh Department of Electrical and Computer Engineering,Los Angeles,CA,90089)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2022
号:
ASP-DAC
ページ:
100-107
発行年:
2022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)