Q. Han, Shuai Zhang, Yong Yang, Yanhuai Qu, B. Wen
{"title":"用Hilbert-Huang变换区分两种不同的非平稳信号","authors":"Q. Han, Shuai Zhang, Yong Yang, Yanhuai Qu, B. Wen","doi":"10.1117/12.858238","DOIUrl":null,"url":null,"abstract":"In order to distinguish the difference of non-stationary signals, the novel time-frequency analysis approach, i.e. Hilbert- Huang transform (HHT), is applied in this paper. Firstly, Hilbert-Huang transform is briefly introduced. Secondly, two different non-stationary signals are described in Empirical Mode Decomposition (EMD) and Hilbert spectra. With these results, the two signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary signals.","PeriodicalId":250590,"journal":{"name":"ICMIT: Mechatronics and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distinction of two different nonstationary signals with Hilbert-Huang transform\",\"authors\":\"Q. Han, Shuai Zhang, Yong Yang, Yanhuai Qu, B. Wen\",\"doi\":\"10.1117/12.858238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to distinguish the difference of non-stationary signals, the novel time-frequency analysis approach, i.e. Hilbert- Huang transform (HHT), is applied in this paper. Firstly, Hilbert-Huang transform is briefly introduced. Secondly, two different non-stationary signals are described in Empirical Mode Decomposition (EMD) and Hilbert spectra. With these results, the two signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary signals.\",\"PeriodicalId\":250590,\"journal\":{\"name\":\"ICMIT: Mechatronics and Information Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICMIT: Mechatronics and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.858238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICMIT: Mechatronics and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.858238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distinction of two different nonstationary signals with Hilbert-Huang transform
In order to distinguish the difference of non-stationary signals, the novel time-frequency analysis approach, i.e. Hilbert- Huang transform (HHT), is applied in this paper. Firstly, Hilbert-Huang transform is briefly introduced. Secondly, two different non-stationary signals are described in Empirical Mode Decomposition (EMD) and Hilbert spectra. With these results, the two signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary signals.