Zobrazeno 1 - 10
of 110
pro vyhledávání: '"C.‐J. Richard Shi"'
Autor:
Jialin Wang, Shen Liang, Jiawei Zhang, Yingpei Wu, Lanying Zhang, Rui Gao, Dake He, C.-J. Richard Shi
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3176-3187 (2023)
Epilepsy is one of the most common neurological diseases. Clinically, epileptic seizure detection is usually performed by analyzing electroencephalography (EEG) signals. At present, deep learning models have been widely used for single-channel EEG si
Externí odkaz:
https://doaj.org/article/024bd3dd36f84f378d7fe383403b0714
Publikováno v:
Sensors, Vol 24, Iss 2, p 648 (2024)
Automatic fall detection plays a significant role in monitoring the health of senior citizens. In particular, millimeter-wave radar sensors are relevant for human pose recognition in an indoor environment due to their advantages of privacy protection
Externí odkaz:
https://doaj.org/article/4c5e0d6afdfb44d188e94378da7df32e
Publikováno v:
Electronics Letters, Vol 59, Iss 7, Pp n/a-n/a (2023)
Abstract This letter presents a low‐noise implementation of the switched‐capacitor (SC) DC servo loop (DSL) in the capacitively coupled chopper instrumentation amplifier (CCIA). The noise of the SC integrator in SC DSL is first analyzed, then a l
Externí odkaz:
https://doaj.org/article/ac027a54df8043e1af94b626b08fb6a1
Autor:
Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie Xu, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C.-J. Richard Shi, Junwen Luo, Yuan Xie
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Action recognition is an exciting research avenue for artificial intelligence since it may be a game changer in emerging industrial fields such as robotic visions and automobiles. However, current deep learning (DL) faces major challenges for such ap
Externí odkaz:
https://doaj.org/article/37343ad3ba0c4c60ab877c7194dac682
Autor:
Heyu Ren, Dawei Ye, Binbin Chen, Wenjun Gong, Xu Jin, Rongjin Xu, Liangjian Lyu, Ling Xu, C.-J. Richard Shi
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae64f3cdc1e75175e79bff1929b57628
https://doi.org/10.1109/tmtt.2023.3267542
https://doi.org/10.1109/tmtt.2023.3267542
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:2832-2844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba58e1789c9f235a27b92d4fd7972740
https://doi.org/10.1109/tcsi.2022.3161763
https://doi.org/10.1109/tcsi.2022.3161763
Publikováno v:
Integration. 84:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47a77ea42928b9ef3b20cc115f978a3
https://doi.org/10.1016/j.vlsi.2021.12.007
https://doi.org/10.1016/j.vlsi.2021.12.007
Publikováno v:
IEEE Transactions on Human-Machine Systems. 52:110-122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef145e1e959a0f5e48634e08a192769
https://doi.org/10.1109/thms.2021.3123232
https://doi.org/10.1109/thms.2021.3123232
Publikováno v:
IEEE Journal of Solid-State Circuits. 56:3360-3374
This article presents a 2.4-GHz 65-nm CMOS fully integrated nonlinear mixer-first receiver (RX) for the Internet of Things (IoT). To power efficiently improve the in-band interference resilience, we propose an inverter-based envelope-biased low noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963cb8da64de3e6021691bfd986dc38c
https://doi.org/10.1109/jssc.2021.3109935
https://doi.org/10.1109/jssc.2021.3109935
Autor:
C.-J. Richard Shi, Chang Liu
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 68:1705-1709
This brief presents the analysis and compensation technique for the class-E power amplifier (PA) considering the temperature effect of the non-zero transistor on-resistance for sensor network applications. It is shown theoretically and by simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ec1de309b0517490a432193c2e3d978
https://doi.org/10.1109/tcsii.2021.3066963
https://doi.org/10.1109/tcsii.2021.3066963