{"title":"基于小波分析的电力电子器件频谱估计研究","authors":"Xiong Rui, Huang Jin, Deng Wendan, Xie Yicong","doi":"10.1109/CEEM.2003.237869","DOIUrl":null,"url":null,"abstract":"The EMI spectrum plays an important role in the EMC prediction of the power electronic devices. A spectrum estimation method is presented, which combines the good ability of Fourier analysis in accurate frequency localization and the features of wavelet analysis both in saltation signal processing and in adaptive signal processing, to apply a wavelet thresholding to the EMI characteristic of the system. This thresholding method has been verified by simulation and the experiment results in a power converter.","PeriodicalId":129734,"journal":{"name":"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The study of spectrum estimation in the power electronic devices based on wavelet analysis\",\"authors\":\"Xiong Rui, Huang Jin, Deng Wendan, Xie Yicong\",\"doi\":\"10.1109/CEEM.2003.237869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The EMI spectrum plays an important role in the EMC prediction of the power electronic devices. A spectrum estimation method is presented, which combines the good ability of Fourier analysis in accurate frequency localization and the features of wavelet analysis both in saltation signal processing and in adaptive signal processing, to apply a wavelet thresholding to the EMI characteristic of the system. This thresholding method has been verified by simulation and the experiment results in a power converter.\",\"PeriodicalId\":129734,\"journal\":{\"name\":\"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEM.2003.237869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEM.2003.237869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The study of spectrum estimation in the power electronic devices based on wavelet analysis
The EMI spectrum plays an important role in the EMC prediction of the power electronic devices. A spectrum estimation method is presented, which combines the good ability of Fourier analysis in accurate frequency localization and the features of wavelet analysis both in saltation signal processing and in adaptive signal processing, to apply a wavelet thresholding to the EMI characteristic of the system. This thresholding method has been verified by simulation and the experiment results in a power converter.