@inproceedings{0b5e125d1c7c4fa382a90737d64f362d,
title = "Volterra Kernel Extraction through Monomial Power Series Feed Forward Neural Network for Behavior Modeling of High Speed I/O Buffer",
abstract = "This work explores Volterra kernel extraction using feed forward neural network (FFN) with monomial power series (MPS) activation function for high speed I/O buffer behavioral modeling. The proposed method demonstrates a higher level of accuracy and flexible order truncation. The proposed method is validated using a computer simulated Weiner system with second order nonlinearity. A case study with a real high speed I/O buffer is also conducted and discussed.",
keywords = "Behavior Modeling, Feed Forward Neural Network, Signal Integrity, Volterra Series",
author = "Xinying Wang and Thong Nguyen and Jose Schutt-Aine",
note = "Publisher Copyright: {\textcopyright} 2019 The Institute of Electronics, Information and Communication Engineer.; 2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility, EMC Sapporo/APEMC 2019 ; Conference date: 03-06-2019 Through 07-06-2019",
year = "2019",
month = jun,
doi = "10.23919/EMCTokyo.2019.8893957",
language = "English (US)",
series = "2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility, EMC Sapporo/APEMC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "564--567",
booktitle = "2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility, EMC Sapporo/APEMC 2019",
address = "United States",
}