| 基于奇异谱分析的混沌序列降噪 |
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| 引用本文： | 刘元峰,赵玫.基于奇异谱分析的混沌序列降噪[J].上海交通大学学报,2003,37(5):778-780. |
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| 作者姓名： | 刘元峰 赵玫 |
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| 作者单位： | 上海交通大学振动、冲击、噪声国家重点实验室,上海,200030 |
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| 基金项目： | 国家重点基础研究发展规划 (973 )项目(G19980 2 0 3 2 1) |
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| 摘 要： | 基于奇异谱分析的基本思想，提出一种降低混沌信号中噪声的算法及一种基于噪声奇异谱特性的最佳重构阶次选择方法．对一个混沌时间序列进行奇异谱分析，得到各主分量和经验正交函数，选择合适阶次重构信号，即可得到降噪后的混沌时间序列．数值仿真证实了该算法的有效性．
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| 关 键 词： | 奇异谱分析 混沌时间序列 降噪 |
| 文章编号： | 1006-2467(2003)05-0778-03 |
| 修稿时间： | 2002年5月28日 |
De-Noising of Chaotic Time Series Based on Singular Spectrum Analysis |
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| LIU Yuan feng,ZHAO Mei.De-Noising of Chaotic Time Series Based on Singular Spectrum Analysis[J].Journal of Shanghai Jiaotong University,2003,37(5):778-780. |
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| Authors: | LIU Yuan feng ZHAO Mei |
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| Abstract: | A new algorithm based on singular spectrum analysis for de noising of chaotic time series was proposed. By carrying out the singular spectrum analysis on a chaotic time series, the principal components and empirical orthogonal functions were obtained. The de noised chaotic time series was reconstructed by choosing appropriate order of principal components and empirical orthogonal functions. The numerical results show the validity of this method. |
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| Keywords: | singular spectrum analysis (SSA) chaotic time series de noise |
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