Modelling and comparison for low-voltage broadband power line noise using LS-SVM and wavelet neural networks.

Xiongwen Zhao,Hui Zhang,Liang Li,Wenbing Lu, Yi Ding,Junyu Liu

IET Communications（2019）

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摘要

This study is to construct the autoregressive models for the low-voltage broadband power line communication (PLC) channel noise by two machine learning algorithms, namely the least square support vector machine (LS-SVM) and wavelet neural networks. The main work is to compare the two classical machine learning algorithms and also compare them with the traditional Markovian-Gaussian method. To veri...

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关键词

autoregressive processes,carrier transmission on power lines,learning (artificial intelligence),least squares approximations,support vector machines,telecommunication channels,telecommunication computing,time-varying channels,wavelet neural nets

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