用Hilbert-Huang变换区分两种不同的非平稳信号

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}
引用次数: 0

摘要

为了区分非平稳信号的差异,本文采用了一种新颖的时频分析方法,即Hilbert- Huang变换(HHT)。首先简要介绍了Hilbert-Huang变换。其次,用经验模态分解(EMD)和希尔伯特谱描述了两种不同的非平稳信号。根据这些结果,两个信号在时间波中看起来很相似,但实际上却截然不同。结果表明,HHT对非平稳信号的识别是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信