Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yuancong Wu"'
Autor:
Yanchen Liu, Caizhi Zhang, Tupei Chen, Deyu Kong, Rui Guo, J. J. Wang, Yuancong Wu, S. G. Hu, L. M. Rong, Qi Yu, Yang Liu
Publikováno v:
IEEE Access, Vol 7, Pp 43076-43083 (2019)
In this paper, an RF low noise amplifier (LNA) with self-recovery capability has been designed and implemented. A degradation model of hot carrier injection (HCI) of n-channel MOSFETs is proposed to simulate the aging process of the RF circuits, and
Externí odkaz:
https://doaj.org/article/857d1f6acd4c46018961cfbf56bb72c7
Autor:
Rui Guo, Kun Qian, Jinping Wei, Tupei Chen, Yanchen Liu, Deyu Kong, J. J. Wang, Yuancong Wu, S. G. Hu, Qi Yu, Yang Liu
Publikováno v:
IEEE Access, Vol 7, Pp 60120-60125 (2019)
In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network, the linearity and tuning range of the LC-VCO has been substantially improved. Compared to
Externí odkaz:
https://doaj.org/article/4a305d67977d4c77a7c71ec660da9989
Autor:
Deyu Kong, Shaogang Hu, Yuancong Wu, Junjie Wang, Canlong Xiong, Qi Yu, Zhengyu Shi, Zhen Liu, Tupei Chen, You Yin, Sumio Hosaka, Yang Liu
Publikováno v:
IEEE Access, Vol 6, Pp 68773-68781 (2018)
In wireless devices, a transmitter normally consumes most of power due to its power amplifier (PA), especially in the applications such as radar, base station, and mobile phone. It is highly desirable to design a transmitter that can emit signals sma
Externí odkaz:
https://doaj.org/article/a43d3c9bfd174d79a8eb6ce7a893a47a
Publikováno v:
Electronics Letters. 56:1230-1232
In this Letter, an asynchronous spike-driven processor based on gated recurrent neural network algorithm for electrocardiogram (ECG) cardiac arrhythmias detection has been designed. Based on the processor, the proposed ECG detection model, containing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9078741b0e0b994d843a856377e6baac
https://doi.org/10.1049/el.2020.2224
https://doi.org/10.1049/el.2020.2224
Autor:
Y. Liu, Qian Yu, S. G. Hu, Canlong Xiong, Yuancong Wu, Tupei Chen, Jing Yang, Yihe Liu, Shuang Liu
Publikováno v:
Applied Physics Letters. 119:102103
With its high energy efficiency and ultra-high speed, processing-in-memory (PIM) technology is promising to enable high performance in Reservoir Computing (RC) systems. In this work, we demonstrate an RC system based on an as-fabricated PIM chip plat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::299225d61b1a2926a41ad6d0cd3a7b89
https://doi.org/10.1063/5.0057132
https://doi.org/10.1063/5.0057132
Autor:
J. J. Wang, Rui Guo, Zhan Xitong, Yang Liu, Yong Liu, Yuancong Wu, Qian Kun, An Kun, S. G. Hu, Qi Yu, Tupei Chen, Sheng Xu
Publikováno v:
IEEE transactions on biomedical circuits and systems. 14(2)
In this paper, a reconfigurable and scalable spiking neural network processor, containing 192 neurons and 6144 synapses, is developed. By using deep compression technique in spiking neural network chip, the amount of physical synapses can be reduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40cfbe4d689062a84d02081a7d0167a8
https://pubmed.ncbi.nlm.nih.gov/31715570
https://pubmed.ncbi.nlm.nih.gov/31715570
Autor:
Qi Yu, Qian Kun, Jinping Wei, Deyu Kong, Rui Guo, Yuancong Wu, Yang Liu, Yong Liu, Tupei Chen, S. G. Hu, J. J. Wang
Publikováno v:
IEEE Access, Vol 7, Pp 60120-60125 (2019)
In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network, the linearity and tuning range of the LC-VCO has been substantially improved. Compared to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::162bc8e8998fe2ddafcd129068b4a8df
http://hdl.handle.net/10220/48929
http://hdl.handle.net/10220/48929
Autor:
J. J. Wang, Yuancong Wu, S. G. Hu, Qi Yu, Yong Liu, Rong Limei, Yang Liu, Caizhi Zhang, Tupei Chen, Deyu Kong, Rui Guo
Publikováno v:
IEEE Access, Vol 7, Pp 43076-43083 (2019)
In this paper, an RF low noise amplifier (LNA) with self-recovery capability has been designed and implemented. A degradation model of hot carrier injection (HCI) of n-channel MOSFETs is proposed to simulate the aging process of the RF circuits, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3888682c7646ad56cc0e1e474b936def
https://hdl.handle.net/10356/106309
https://hdl.handle.net/10356/106309
Publikováno v:
IEICE Electronics Express. 18:20210120-20210120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7afbfd603f1a8a91851ed1eec785f78e
https://doi.org/10.1587/elex.18.20210120
https://doi.org/10.1587/elex.18.20210120
Publikováno v:
Journal of Physics: Conference Series. 1828:012050
Inspired by the way the human brain thinks, the neuromorphic system applies the principles of biological brains to computer architecture, providing low-energy, distributed, and massively parallel advantages for brain-inspired systems. This work prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::440aa9636d9e95be70f223aa532fee09
https://doi.org/10.1088/1742-6596/1828/1/012050
https://doi.org/10.1088/1742-6596/1828/1/012050