Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression
2024 IEEE 28TH WORKSHOP ON SIGNAL AND POWER INTEGRITY, SPI 2024(2024)
摘要
This paper investigates the potential of a fully behavioral approach for the generation of accurate models of digital IC buffers based on conventional kernel regressions. The proposed approach does not assume a specific model structure like the classical two-piece model representation which has been massively used in literature, offering a promising and viable alternative to facilitate the modeling of nonlinear electrical devices. The collected results represent a first proof-of-concept, aimed at demonstrating the strengths of the proposed alternative modeling approach.
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关键词
digital integrated circuits,buffer modeling,signal integrity,high-speed interconnects,kernel regression
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