Multiple Delay Identification in Long Interconnects via LS-SVM Regression

Multiple Delay Identification in Long Interconnects via LS-SVM Regression

This work presents a novel approach for the accurate estimation of multiple time-delays from the frequency response of a distributed system. The proposed approach is based on a powerful and flexible machine learning technique, namely, the least-square support vector machine (LS-SVM). The LS-SVM regr...

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Bibliographic Details
Main Authors: Felipe Treviso, Riccardo Trinchero, Flavio G. Canavero
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Interconnect modeling
delayed rational model
delay identification
machine learning
least-square support vector machine
kernel
Online Access:https://ieeexplore.ieee.org/document/9369356/

Internet

https://ieeexplore.ieee.org/document/9369356/

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