Channel Characteristic-Based Deep Neural Network Models for Accurate Eye Diagram Estimation in High Bandwidth Memory (HBM) Silicon Interposer
IEEE Transactions on Electromagnetic Compatibility(2022)
摘要
In this article, for the first time, we propose channel characteristic-based deep neural network (DNN) models for accurate eye-height (EH) and eye-width (EW) estimation of high bandwidth memory (HBM) silicon interposer channels. The proposed models preprocess the design parameters that are highly relevant to the characteristics of the HBM channels. By taking account of the contribution of each des...
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关键词
Silicon,Channel estimation,Microstrip,Estimation,Stripline,Solid modeling,Neural networks
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