Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chaohan Wang"'
Autor:
Zhaoguang Si, Chaohan Wang, Xiongfei Jiang, Zheyi Li, Guoyang Huang, Alexander Serb, Themis Prodromakis, Shiwei Wang, Christos Papavassiliou
Publikováno v:
Si, Z, Wang, C, Jiang, X, Li, Z, Huang, G, Serb, A, Prodromakis, T, Wang, S & Papavassiliou, C 2023, ' Memristor-Assisted Background Calibration for SAR ADCs: A Feasibility Study ', IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1-12 . https://doi.org/10.1109/TCSI.2023.3272609
This paper proposes a memristor-assisted sign-based background calibration scheme for analog-to-digital converters (ADCs). The scheme was implemented and validated in a 12-bit asynchronous successive approximation register (SAR) ADC, which consists o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a021a59ce8159aabb9f857a7af4789a
https://www.pure.ed.ac.uk/ws/files/352281131/TCAS_I_Special_Issue_2022_2_.pdf
https://www.pure.ed.ac.uk/ws/files/352281131/TCAS_I_Special_Issue_2022_2_.pdf
Autor:
Chaohan Wang, Zhaoguang Si, Xiongfei Jiang, Adil Malik, Yihan Pan, Spyros Stathopoulos, Alexander Serb, Shiwei Wang, Themis Prodromakis, Christos Papavassiliou
Publikováno v:
Wang, C, Si, Z, Jiang, X, Malik, A, Pan, Y, Stathopoulos, S, Serb, A, Wang, S, Prodromakis, T & Papavassiliou, C 2022, ' Multi-State Memristors and Their Applications: An Overview ', IEEE Journal of Emerging and Selected Topics in Circuits and Systems . https://doi.org/10.1109/JETCAS.2022.3223295
Memristors show great potential for being integrated into CMOS technology and provide new approaches for designing computing-in-memory (CIM) systems, brain-inspired applications, trimming circuits and other topologies for the beyond-CMOS era. A cruci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9776e7cd70f00b51b13b625839692e8
https://www.pure.ed.ac.uk/ws/files/309394844/JETCAS_2022_accepted.pdf
https://www.pure.ed.ac.uk/ws/files/309394844/JETCAS_2022_accepted.pdf
Autor:
Zhaoguang Si, Chaohan Wang, Adil Malik, Shiwei Wang, Themis Prodromakis, Christos Papavassiliou
Publikováno v:
2022 20th IEEE Interregional NEWCAS Conference (NEWCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c69079ecb55034456e7a03e0b299bf12
https://doi.org/10.1109/newcas52662.2022.9842108
https://doi.org/10.1109/newcas52662.2022.9842108
Autor:
Lijie Xie, Jiawei Shen, Andrea Mifsud, Chaohan Wang, Abdulaziz Alshaya, Christos Papavassiliou
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
The memristor, because of its controllability over a wide dynamic range of resistance, has emerged as a promising device for data storage and analog computation. A major challenge is the accurate measurement of memristance over a wide dynamic range.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66122e576e0dc2bcba396f5ac02bacc7
http://arxiv.org/abs/2205.08381
http://arxiv.org/abs/2205.08381
Autor:
Andrea Mifsud, Jiawei Shen, Peilong Feng, Lijie Xie, Chaohan Wang, Yihan Pan, Sachin Maheshwari, Shady Agwa, Spyros Stathopoulos, Shiwei Wang, Alexander Serb, Christos Papavassiliou, Themis Prodromakis, Timothy G. Constandinou
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Mass characterisation of emerging memory devices is an essential step in modelling their behaviour for integration within a standard design flow for existing integrated circuit designers. This work develops a novel characterisation platform for emerg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad2d6ffcf682c5a099bbfd74f4d2ea56
Publikováno v:
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce0546319e3180d139ded2a905759da
https://doi.org/10.1109/icecs53924.2021.9665450
https://doi.org/10.1109/icecs53924.2021.9665450
Publikováno v:
Electronics; Volume 11; Issue 21; Pages: 3477
Driven by needs in neuroscientific research, future neural interface technologies demand integrated circuits that can record a large number of channels of neural signals in parallel while maintaining a miniaturized physical form factor. Using convent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e52baa5f6d16a830c530e87c3cc3b30
https://doi.org/10.3390/electronics11213477
https://doi.org/10.3390/electronics11213477