Zobrazeno 1 - 10
of 157
pro vyhledávání: '"En-Xiao Liu"'
Publikováno v:
IEEE Access, Vol 7, Pp 93772-93780 (2019)
With a rapid increase in operating frequency and package complexity, conventional analysis methods cannot efficiently cope with current complex electromagnetic interference (EMI) issues. In this paper, a new method built on a deep neural network (DNN
Externí odkaz:
https://doaj.org/article/4fe5c88be2554fa48cf6264b99b070df
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 70:2271-2282
Publikováno v:
IEEE Electromagnetic Compatibility Magazine. 12:75-86
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:3490-3500
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 70:4110-4119
Autor:
Hanzhi Ma, Da Li, Tuomin Tao, Xingjian Shangguan, En-Xiao Liu, Jose Schutt-Aine, Andreas C. Cangellaris, Er-Ping Li
Publikováno v:
IEEE Transactions on Signal and Power Integrity. 1:160-169
Autor:
Aili Wang, Manareldeen Ahmed, Tuomin Tao, Er-Ping Li, Hang Jin, Shurun Tan, Hanzhi Ma, En-Xiao Liu, Quankun Chen, Zheming Gu
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:1906-1916
This article presents a novel circuit modeling method for online training and testing process of the neuromorphic chip crossbar array based on the resistive random access memory (RRAM). A modified RRAM compact model is developed to realize the fast a
Publikováno v:
2021 13th International Workshop on the Electromagnetic Compatibility of Integrated Circuits (EMC Compo).
Publikováno v:
2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium).
Publikováno v:
IEEE Access, Vol 7, Pp 93772-93780 (2019)
With a rapid increase in operating frequency and package complexity, conventional analysis methods cannot efficiently cope with current complex electromagnetic interference (EMI) issues. In this paper, a new method built on a deep neural network (DNN