PCIe Gen5 Physical Layer Equalization Tuning by Using K-Means Clustering and Gaussian Process Regression Modeling in Industrial Post-Silicon Validation

التفاصيل البيبلوغرافية
العنوان:	PCIe Gen5 Physical Layer Equalization Tuning by Using K-Means Clustering and Gaussian Process Regression Modeling in Industrial Post-Silicon Validation
المؤلفون:	Rangel-Patino, Francisco E., Viveros-Wacher, Andres, Rajyaguru, Chintan, Vega-Ochoa, Edgar A., Rodriguez-Saenz, Sofia D., Silva-Cortes, Johana L., Shival, Hemanth, Rayas-Sanchez, Jose E.
المصدر:	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), 2023 IEEE MTT-S International Conference on. :162-165 Jun, 2023
Relation:	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
قاعدة البيانات:	IEEE Xplore Digital Library