A Deep Learning Approach for Volterra Kernel Extraction for Time Domain Simulation of Weakly Nonlinear Circuits-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Volterra Kernel Extraction for Time Domain Simulation of Weakly Nonlinear Circuits

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 69th Electronic Components and Technology Conference (ECTC)
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Author:

Nguyen Thong,Wang Xinying,Chen Xu,Schutt-Aine Jose

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8795274/8811008/08811319.pdf?arnumber=8811319

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Training Set Optimization with Uncertainty Quantification for Machine Learning Models of Electromagnetic Structures;2022 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS);2022-12-12

2. Volterra series based nonlinear system identification methods and modelling capabilities;International Journal of Modelling, Identification and Control;2022

3. Structured Recurrent Neural Network Model Order Reduction for SISO and SIMO LTI Systems;2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS);2021-11-28

4. Laguerre–Volterra Feed-Forward Neural Network for Modeling PAM-4 High-Speed Links;IEEE Transactions on Components, Packaging and Manufacturing Technology;2020-12

5. Demystifying Machine Learning for Signal and Power Integrity Problems in Packaging;IEEE Transactions on Components, Packaging and Manufacturing Technology;2020-08

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