Probabilistic Distribution Modeling of Crosstalk in Multi-Conductor Transmission Lines via Maximum Entropy Method

Probabilistic Distribution Modeling of Crosstalk in Multi-Conductor Transmission Lines via Maximum Entropy Method

A novel statistical method, referred to as the maximum entropy (MaxEnt) method is proposed in this paper for effective probabilistic modeling of crosstalk in multi-conductor transmission lines (MTLs). The principle of the MaxEnt method states that for the given information constraints, the probabili...

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Bibliographic Details
Main Authors: Le Gao, Quanyi Yu, Dingchao Wu, Tianhao Wang, Xianli Yu, Yaodan Chi, Tong Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Crosstalk
probabilistic modeling
multi-conductor transmission lines (MTL)
maximum entropy (MaxEnt) method
full factorial numerical integration (FFNI)
sparse grid numerical integration (SGNI)
Online Access:https://ieeexplore.ieee.org/document/8764425/

Internet

https://ieeexplore.ieee.org/document/8764425/

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