{"title":"基于希尔伯特变换的调幅非平稳信号分量分离","authors":"Yiding Hu, Weixin Ren","doi":"10.1109/ICIST.2014.6920595","DOIUrl":null,"url":null,"abstract":"A method based on Hilbert Transform is presented to separate components or to extract the envelope from the non-stationary amplitude modulated signals in the product model where the non-stationary signal is the product of the non-stationary slowly-varying component and stationary fast component. Numerical examples are given to illustrate the efficiency of the presented method. It is demonstrated that the stationary part can be successfully separated from the non-stationary amplitude modulated signals in the product model.","PeriodicalId":306383,"journal":{"name":"2014 4th IEEE International Conference on Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Separating the components of amplitude modulated non-stationary signal based on Hilbert transform\",\"authors\":\"Yiding Hu, Weixin Ren\",\"doi\":\"10.1109/ICIST.2014.6920595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method based on Hilbert Transform is presented to separate components or to extract the envelope from the non-stationary amplitude modulated signals in the product model where the non-stationary signal is the product of the non-stationary slowly-varying component and stationary fast component. Numerical examples are given to illustrate the efficiency of the presented method. It is demonstrated that the stationary part can be successfully separated from the non-stationary amplitude modulated signals in the product model.\",\"PeriodicalId\":306383,\"journal\":{\"name\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST.2014.6920595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th IEEE International Conference on Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2014.6920595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Separating the components of amplitude modulated non-stationary signal based on Hilbert transform
A method based on Hilbert Transform is presented to separate components or to extract the envelope from the non-stationary amplitude modulated signals in the product model where the non-stationary signal is the product of the non-stationary slowly-varying component and stationary fast component. Numerical examples are given to illustrate the efficiency of the presented method. It is demonstrated that the stationary part can be successfully separated from the non-stationary amplitude modulated signals in the product model.
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