@inproceedings{984834e764df4eb0bb91fea28d8cd755,
title = "A tunable neural network based decision feed-back equalizer model for high-speed link simulation",
abstract = "This paper presents a model combining a feedforward neural network (FNN) with a recurrent neural network (RNN) to model Decision Feed-back Equalizer (DFE). By using the FNN as the mapping between the tap values and the dynamic behavior of the DFE, a complete model of the DFE can be constructed for channel simulation. The paper shows a 2-tap DFE example in which excellent agreement between the model generated by the proposed method and transient simulation can be observed.",
author = "Thong Nguyen and Jose Schutt-Aine",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020 ; Conference date: 05-10-2020 Through 07-10-2020",
year = "2020",
month = oct,
doi = "10.1109/EPEPS48591.2020.9231402",
language = "English (US)",
series = "EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems",
address = "United States",
}