Abstract
Presented herein is a quick scan method for signal integrity checks through sampling of four points under certain thermal condition. The techniques presented herein use a machine learning trained model to ensure signal integrity check fidelity.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Xu, Jim; Bandlamudi, Sreenivasa Rao; Sood, Ankit; Bansal, Vinit; Eda, Ravi; and Singh, Arun, "MACHINE LEARNING ASSISTED QUICK EYESCAN (MLAQE) FOR SIGNAL INTEGRITY CHECK", Technical Disclosure Commons, (January 03, 2020)
https://www.tdcommons.org/dpubs_series/2835
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