摘要
基于奇异谱分析的基本思想 ,提出了一种降低混沌信号中噪声的算法。对一个混沌时间序列进行奇异谱分析 ,得到各个主分量和经验正交函数 ,选择合适的阶次重构信号 ,即可得到降噪后的混沌时间序列。
A new algorithm based on singular spectrum a na lysis for de-noising of chaotic time series is proposed in this paper. By carry ing out the singular spectrum analysis on a chaotic time series, the principal c omponents and empirical orthogonal functions are obtained. The de-noised chaoti c time series is reconstructed by choosing appropriate order of principal compon ents and empirical orthogonal functions. The numerical results show the validity of this method
出处
《机械科学与技术》
CSCD
北大核心
2003年第4期538-539,546,共3页
Mechanical Science and Technology for Aerospace Engineering
基金
国家重点基础研究发展规划项目(G19980 2 0 32 1)
"十五"国家科技攻关计划项目 ( 2 0 0 1BA 2 0 4 B0 5- K H KZ0 0 0 9)资助
关键词
奇异谱分析
混沌序列
降噪
算法
Singular spectrum analysis
De-noising
Chaoti c time series
