| 書目名稱 | Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series |
| 編輯 | A. Ramachandra Rao,En-Ching Hsu |
| 視頻video | http://file.papertrans.cn/428/427078/427078.mp4 |
| 叢書名稱 | Water Science and Technology Library |
| 圖書封面 |  |
| 描述 | To accommodate the inherent non-linearity and non-stationarity of many natural time series, empirical mode decomposition (EMD) and Hilbert-Huang transform (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically meaningful interpretation of the underlying dynamic processes. The EMD also works as a filter to extract the variability of signals with different scales and is applicable to non-linear and n- stationary processes. This promising algorithm has been applied in many fields since it was developed, but it has not been applied to hydrological and climatic time series. The discussion in this book starts with several simulated data sets in order to investigate the capability of this method and to compare it to other conventional frequency-domain analysis methods that assume stationarity. Rainfall, streamflow, temperature, wind speed time series and lake temperature data are investigated in this study. The aim of the work is to investigate periodicity, long t |
| 出版日期 | Book 2008 |
| 關鍵詞 | Environmental and Hydrologic Time Series; Fourier transform; Hilbert-Huang Transform; Nonstationary Pro |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4020-6454-8 |
| isbn_softcover | 978-90-481-7645-8 |
| isbn_ebook | 978-1-4020-6454-8Series ISSN 0921-092X Series E-ISSN 1872-4663 |
| issn_series | 0921-092X |
| copyright | Springer Science+Business Media B.V. 2008 |
|Archiver|手機版|小黑屋|
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