High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network
In this paper, we study the spectral characteristics and global representations of strongly nonlinear, non-stationary electromagnetic interferences (EMI), which is of great significance in analysing the mathematical modelling of electromagnetic capability (EMC) for a large scale integrated system. W...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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University of Banja Luka
2016-06-01
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Series: | Electronics |
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Online Access: | http://electronics.etfbl.net/journal/Vol20No1/xPaper_05.pdf |
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author | Hongyi Li Di Zhao Shaofeng Xu Pidong Wang Jiaxin Chen |
author_facet | Hongyi Li Di Zhao Shaofeng Xu Pidong Wang Jiaxin Chen |
author_sort | Hongyi Li |
collection | DOAJ |
description | In this paper, we study the spectral characteristics and global representations of strongly nonlinear, non-stationary electromagnetic interferences (EMI), which is of great significance in analysing the mathematical modelling of electromagnetic capability (EMC) for a large scale integrated system. We firstly propose to use Self-Organizing Feature Map Neural Network (SOM) to cluster EMI signals. To tackle with the high dimensionality of EMI signals, we combine the dimension reduction and clustering approaches, and find out the global features of different interference factors, in order to finally provide precise mathematical simulation models for EMC design, analysis, forecasting and evaluation. Experimental results have demonstrated the validity and effectiveness of the proposed method. |
first_indexed | 2024-04-11T14:06:43Z |
format | Article |
id | doaj.art-2834d1f3896b4b66ba8e9d29076e5631 |
institution | Directory Open Access Journal |
issn | 1450-5843 |
language | English |
last_indexed | 2024-04-11T14:06:43Z |
publishDate | 2016-06-01 |
publisher | University of Banja Luka |
record_format | Article |
series | Electronics |
spelling | doaj.art-2834d1f3896b4b66ba8e9d29076e56312022-12-22T04:19:51ZengUniversity of Banja LukaElectronics1450-58432016-06-01201273110.7251/ELS1620027LHigh Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural NetworkHongyi Li0Di Zhao1Shaofeng Xu2Pidong Wang3Jiaxin Chen4Beihang UniversityBeihang UniversityBeihang UniversityBeihang UniversityBeihang UniversityIn this paper, we study the spectral characteristics and global representations of strongly nonlinear, non-stationary electromagnetic interferences (EMI), which is of great significance in analysing the mathematical modelling of electromagnetic capability (EMC) for a large scale integrated system. We firstly propose to use Self-Organizing Feature Map Neural Network (SOM) to cluster EMI signals. To tackle with the high dimensionality of EMI signals, we combine the dimension reduction and clustering approaches, and find out the global features of different interference factors, in order to finally provide precise mathematical simulation models for EMC design, analysis, forecasting and evaluation. Experimental results have demonstrated the validity and effectiveness of the proposed method.http://electronics.etfbl.net/journal/Vol20No1/xPaper_05.pdfEMImathematical simulation modelsSOM |
spellingShingle | Hongyi Li Di Zhao Shaofeng Xu Pidong Wang Jiaxin Chen High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network Electronics EMI mathematical simulation models SOM |
title | High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network |
title_full | High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network |
title_fullStr | High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network |
title_full_unstemmed | High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network |
title_short | High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network |
title_sort | high dimensional electromagnetic interference signal clustering based on som neural network |
topic | EMI mathematical simulation models SOM |
url | http://electronics.etfbl.net/journal/Vol20No1/xPaper_05.pdf |
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