Long-term Trend in Non-stationary Time Series with Nonlinear Analysis Techniques
文献类型：会议论文
| 作者 | Deng LH(邓林华)1,2,3,4
|
| 出版日期 | 2013 |
| 会议名称 | 6th International Congress on Image and Signal Processing (CISP) |
| 会议日期 | 2013-12-16 |
| 会议地点 | Hangzhou, PEOPLES R CHINA |
| 关键词 | information processing time series analysis empirical mode decomposition nonlinear analysis techniques |
| 页码 | 1160-1163 |
| 通讯作者 | Deng, LH (reprint author), Chinese Acad Sci, Yunnan Observ, Kunming 650011, Peoples R China. |
| 英文摘要 | Understanding, modeling, and forecasting the evolution of complex dynamic system is an important but hard task in many natural phenomena. In the present paper, three advanced analysis approaches, including the rescaled range analysis, empirical mode decomposition and cross-recurrence plot, have been proposed to analyze the long-term persistence and secular trend of nonlinear and non-stationary time series. The case study uses the chaotic time-series data of solar-activity indicators in the time interval from 1874 May to 2013 March. The analysis results indicate that the combination of these three techniques is an effective tool not only for capturing the long-range persistence of non-stationary processes, but also for determining the secular trend of a complex time-series. |
| 收录类别 | EI ; CPCI |
| 产权排序 | 第1完成单位 |
| 会议网址 | http://ieeexplore.ieee.org/document/6745231/ |
| 会议录 | 2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3
 |
| 会议录出版者 | IEEE |
| 学科主题 | Computer Science ; Engineering |
| 会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-2763-0 |
| WOS记录号 | WOS:000341115000215 |
| 研究领域[WOS] | Computer Science ; Engineering |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/4860]  |
| 专题 | 云南天文台_抚仙湖太阳观测站 |
| 作者单位 | 1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China 2.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China 3.Key Laboratory of Modern Astronomy and Astrophysics (Nanjing University), Ministry of Education, Nanjing 210093, China 4.University of Chinese Academy of Sciences, Beijing 100049, China |
| 推荐引用方式 GB/T 7714 | Deng LH. Long-term Trend in Non-stationary Time Series with Nonlinear Analysis Techniques[C]. 见:6th International Congress on Image and Signal Processing (CISP). Hangzhou, PEOPLES R CHINA. 2013-12-16.http://ieeexplore.ieee.org/document/6745231/. |
入库方式： OAI收割
来源：云南天文台
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