{"title":"太阳辐照度数据HHT方法在MATLAB中的实现","authors":"Yong Wang, Yuanyuan Ding, Yongjian He, Qilong Miao","doi":"10.1109/WCSE.2010.120","DOIUrl":null,"url":null,"abstract":"The Hilbert-Huang transform (HHT) is a new method of analyzing non-stationary and non-linear time series data. Based on realization of HHT method in MATLAB software, we find that analytical capacity of HHT to time series in time-frequency domains stands out. The results show that (1) Solar irradiance is completely decomposed into four intrinsic mode function (IMF) components and an increasing trend by empirical mode decomposition (EMD) method, (2) it is dominated by raising-up trend for 1800-2000, (3) the Hilbert spectral analysis (HAS) method is very effective on calculation of frequencies.","PeriodicalId":376358,"journal":{"name":"2010 Second World Congress on Software Engineering","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Realization of HHT Method to Solar Irradiance Data in MATLAB\",\"authors\":\"Yong Wang, Yuanyuan Ding, Yongjian He, Qilong Miao\",\"doi\":\"10.1109/WCSE.2010.120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Hilbert-Huang transform (HHT) is a new method of analyzing non-stationary and non-linear time series data. Based on realization of HHT method in MATLAB software, we find that analytical capacity of HHT to time series in time-frequency domains stands out. The results show that (1) Solar irradiance is completely decomposed into four intrinsic mode function (IMF) components and an increasing trend by empirical mode decomposition (EMD) method, (2) it is dominated by raising-up trend for 1800-2000, (3) the Hilbert spectral analysis (HAS) method is very effective on calculation of frequencies.\",\"PeriodicalId\":376358,\"journal\":{\"name\":\"2010 Second World Congress on Software Engineering\",\"volume\":\"168 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2010.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2010.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realization of HHT Method to Solar Irradiance Data in MATLAB
The Hilbert-Huang transform (HHT) is a new method of analyzing non-stationary and non-linear time series data. Based on realization of HHT method in MATLAB software, we find that analytical capacity of HHT to time series in time-frequency domains stands out. The results show that (1) Solar irradiance is completely decomposed into four intrinsic mode function (IMF) components and an increasing trend by empirical mode decomposition (EMD) method, (2) it is dominated by raising-up trend for 1800-2000, (3) the Hilbert spectral analysis (HAS) method is very effective on calculation of frequencies.
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