| 书目名称 | Nonstationarities in Hydrologic and Environmental Time Series |
| 编辑 | A. Ramachandra Rao,Khaled H. Hamed,Huey-Long Chen |
| 视频video | http://file.papertrans.cn/668/667905/667905.mp4 |
| 丛书名称 | Water Science and Technology Library |
| 图书封面 |  |
| 描述 | Conventionally, time series have been studied either in the time domain or the frequency domain. The representation of a signal in the time domain is localized in time, i.e . the value of the signal at each instant in time is well defined . However, the time representation of a signal is poorly localized in frequency , i.e. little information about the frequency content of the signal at a certain frequency can be known by looking at the signal in the time domain . On the other hand, the representation of a signal in the frequency domain is well localized in frequency, but is poorly localized in time, and as a consequence it is impossible to tell when certain events occurred in time. In studying stationary or conditionally stationary processes with mixed spectra , the separate use of time domain and frequency domain analyses is sufficient to reveal the structure of the process . Results discussed in the previous chapters suggest that the time series analyzed in this book are conditionally stationary processes with mixed spectra. Additionally, there is some indication of nonstationarity, especially in longer time series. |
| 出版日期 | Book 2003 |
| 关键词 | Curve fitting; Fitting; Time series; Wavelet; algorithm; algorithms; calculus; entropy; linearity; marine; mod |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-010-0117-5 |
| isbn_softcover | 978-94-010-3979-6 |
| isbn_ebook | 978-94-010-0117-5Series ISSN 0921-092X Series E-ISSN 1872-4663 |
| issn_series | 0921-092X |
| copyright | Springer Science+Business Media Dordrecht 2003 |
|Archiver|手机版|小黑屋|
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