This paper focuses on the application of the Least-Square Support Vector Machine (LS-SVM) regression for the modeling of frequency responses of complex interconnect structures. The goal is to obtain a delayed-rational model (DRM) for the structure accounting for multiple time-delays generated by wave propagation and reflections along the channel. A novel approach for the time-delays estimation based on the LS-SVM regression is introduced. The delays are estimated using the dual space formulation of the LS-SVM with an ad-hoc kernel that considers a possible delay interval. The results highlight the lower order of DRMs obtained using the delays identified through this method when comparing to the vector fitting approach by applying it to a high-speed cable link.
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science tenutosi a Rome, Italy nel 29 Aug.-5 Sept. 2020) [10.23919/URSIGASS49373.2020.9232325].
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems
Treviso, Felipe;Trinchero, Riccardo;Canavero, Flavio G.
2020
Abstract
This paper focuses on the application of the Least-Square Support Vector Machine (LS-SVM) regression for the modeling of frequency responses of complex interconnect structures. The goal is to obtain a delayed-rational model (DRM) for the structure accounting for multiple time-delays generated by wave propagation and reflections along the channel. A novel approach for the time-delays estimation based on the LS-SVM regression is introduced. The delays are estimated using the dual space formulation of the LS-SVM with an ad-hoc kernel that considers a possible delay interval. The results highlight the lower order of DRMs obtained using the delays identified through this method when comparing to the vector fitting approach by applying it to a high-speed cable link.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2849760