Length-Dependent Deep Neural Network Based Modeling for High-Speed Channels

Length-Dependent Deep Neural Network Based Modeling for High-Speed Channels

This article presents a length-dependent deep neural network (LD-DNN) based channel modeling methodology to predict the frequency response of high-speed channels. The proposed method significantly enhances the model accuracy and design efficiency while considering the channel length dependence that...

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Bibliographic Details
Main Authors: Hung Khac Le, Soyoung Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Activation function
deep neural network (DNN)
electrical length
high-speed channel
multiple reflection
resonance
Online Access:https://ieeexplore.ieee.org/document/10385090/

Internet

https://ieeexplore.ieee.org/document/10385090/

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