期刊文献+

混沌时间序列的双线性自适应预测 被引量:2

Prediction of Chaotic Time Series Using Bilinear Adaptive Filter
下载PDF
导出
摘要 基于混沌动力系统相空间的延迟坐标重构和双线性表达式,设计了预测混沌时间序列的双线性自适应预测滤波器.对2种低维混沌序列的预测实验表明,采用双线性自适应滤波器的预测收敛速度快,处理约50个样本时即已收敛,预测相对误差小于0.001. Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series. Experiments conducted on two examples of low-dimensional chaotic series show that, using the bilinear adaptive filter, the prediction process converges after about 50 samples are processed and the relative prediction error is less than 0.001.
出处 《西南交通大学学报》 EI CSCD 北大核心 2004年第4期490-493,共4页 Journal of Southwest Jiaotong University
基金 国家自然科学基金资助项目(60272096)西南交通大学基础科学研究基金的资助 (2 0 0 1B0 8)
关键词 混沌时间序列 滤波器 混沌动力系统 双线性自适应预测 收敛速度 chaos time series bilinear prediction filters
  • 引文网络
  • 相关文献

参考文献8

二级参考文献5

共引文献159

同被引文献27

  • 1李爱国,覃征.滑动窗口二次自回归模型预测非线性时间序列[J].计算机学报,2004,27(7):1004-1008. 被引量:12
  • 2肖先赐.混沌信号非线性预测方法及应用[J].通信对抗,2006(1):3-7. 被引量:3
  • 3王亥,胡健栋.Logistic-MaP混沌扩频序列[J].电子学报,1997,25(1):19-23. 被引量:90
  • 4格莱克.混沌开创新科学[M].张淑誉,译.上海:上海译文出版社,1990.
  • 5KohdaT,TsunedaA.Pseudonoise Sequences by Chaotic Nonlinear Maps and Their Correlation Properties[J].IEICE TransCommun,1993,E76-B(8):855-862.
  • 6王亥,胡健栋.改进型Logistic-Map混沌扩频序列[J].通信学报,1997,18(8):71-77. 被引量:78
  • 7Haykin S,Xiao X L.Detection of signals in chaos[J].Proceedings of the IEEE,1995,83(1):95-122.
  • 8Hennessey G,Leung H,Drosopoulos A,et al.Sea-Clutter Modeling Using a Radial-Basis-Function Neural Network[J].IEEE Journal of Oceanic Engineering,2001,26(3):358-371.
  • 9Leung H,Xie N.Detection of small objects in clutter using a GA-RBF neural network[J].IEEE Transaction on Aerospace and Electronic Systems,2002,38(1):98-118.
  • 10Xie N,Leung H,Chan H.A Multiple-Model Prediction Approach for Sea Clutter Modeling[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(6):1491-1502.

引证文献2

二级引证文献12

相关主题

;
使用帮助 返回顶部