Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Avi Fuerst"'
Autor:
Haijiang Yu, David Patel, Wei Liu, Yann Malinge, Pierre Doussiere, Wenhua Lin, Sanjeev Gupta, Karthik Narayanan, Isako Hoshino, Michael Bresnehan, Sravan Sunkoju, Davide Mantegazza, Robert Herrick, Ranju Venables, Hari Mahalingam, Pegah Seddighian, Avi Fuerst, Jordan Davis, David Gold, Xing Pan, Kadhair Al-hemyari, Ankur Agrawal, Yi Li, Xueyan Zheng, Mala Geethachar, Michael Favaro, Daniel Zhu, Ansheng Liu, Yuliya Akulova
Publikováno v:
Optical Fiber Communication Conference (OFC) 2022.
A fully integrated 800 Gbps PAM-4 2×FR4 and DR8 silicon photonics transmitter with eight heterogeneously integrated DFB lasers is demonstrated for data center applications over a temperature range of 0~70°C and a reach of up to 2 km.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee87bf1ea7d95bc7db0145ae51885b0
https://doi.org/10.1364/ofc.2022.m2d.7
https://doi.org/10.1364/ofc.2022.m2d.7
Autor:
Sanjeev Gupta, Ankur Agrawal, Lincoln Busselle, Ranju Venables, Robert W. Herrick, Haijiang Yu, Wenhua Lin, Michael Bresnehan, Siamak Amiralizadeh Asl, Yuliya Akulova, Frish Harel, Adam Bowles, Yann Malinge, Pierre Doussiere, Sushant Gupta, Daniel Zhu, Catherine Jan, Avi Fuerst, Jian Chen, Avsar Dahal, Animesh Banerjee, Kadhair Al-hemyari, Michael E. Favaro, Ghiurcan George A, Qing Zhu, Mike Kwon, Raghuram Narayan, Xavier Serey, Shane Yerkes, David Patel, Kimchau N. Nguyen, Pegah Seddighian, Jung Park, Hari Mahalingam, Isako Hoshino
Publikováno v:
OFC
A 400Gbps PAM-4 fully integrated DR4 silicon photonics transmitter with four heterogeneously integrated DFB lasers has been demonstrated for data center applications over a temperature range of 0~70°C and a reach of up to 2km
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de95cda50673edbe30692cfc395d00d
https://doi.org/10.1364/ofc.2020.t3h.6
https://doi.org/10.1364/ofc.2020.t3h.6
Publikováno v:
Mechanical Systems and Signal Processing. 48:1-14
The likelihood ratio test (LRT) has attractive failure-detection properties. However, evaluating the likelihood ratio and implementing the LRT require knowledge of the underlying probability distributions. Data or knowledge, especially about future f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17fef65b033a7cc5c3f1fa783a9fc40e
https://doi.org/10.1016/j.ymssp.2014.02.010
https://doi.org/10.1016/j.ymssp.2014.02.010