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PCIe Gen5 Physical Layer Equalization Tuning by Using K-Mea..:

, In: 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO),

Rangel-Patino, Francisco E. ; Viveros-Wacher, Andres ; Rajyaguru, Chintan... - p. 162-165 , 2023

Link: https://doi.org/10.1109/NEMO56117.2023.10202321

RT 
T1 <cTitle>2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)</cTitle>: T1 <Title>PCIe Gen5 Physical Layer Equalization Tuning by Using K-Means Clustering and Gaussian Process Regression Modeling in Industrial Post-Silicon Validation</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10202321&Exemplar=1&LAN=DE
				
A1 Rangel-Patino, Francisco E.
A1 Viveros-Wacher, Andres
A1 Rajyaguru, Chintan
A1 Vega-Ochoa, Edgar A.
A1 Rodriguez-Saenz, Sofia D.
A1 Silva-Cortes, Johana L.
A1 Shival, Hemanth
A1 Rayas-Sanchez, Jose E.
YR 2023
SN 2575-4769
K1 Transmitters
K1 Current measurement
K1 Gaussian processes
K1 Receivers
K1 Physical layer
K1 Time measurement
K1 Numerical models
K1 clustering
K1 equalization
K1 equalization maps
K1 eye-diagram
K1 FIR
K1 GPR
K1 HSIO
K1 high-speed links
K1 metamodels
K1 optimization
K1 PCIe
K1 post-silicon validation
K1 receiver
K1 signal integrity
K1 transmitter
K1 tuning
SP 162
OP 165
LK http://dx.doi.org/https://doi.org/10.1109/NEMO56117.2023.10202321
DO https://doi.org/10.1109/NEMO56117.2023.10202321
SF ELIB - SuUB Bremen

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