中国物理B ›› 2004, Vol. 13 ›› Issue (3): 312-316.doi: 10.1088/1009-1963/13/3/009

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Noise reduction method based on weighted manifold decomposition

肖先赐1, 甘建超2   

  1. (1)Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; (2)National Electronic Warfare Laboratory, Chengdu 610036, China; Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 收稿日期:2003-04-24 修回日期:2003-08-14 出版日期:2004-03-06 发布日期:2005-07-06
  • 基金资助:
    Project supported by the National Defense Foundation of China (Grant No 51435050101DZ0203).

Noise reduction method based on weighted manifold decomposition

Gan Jian-Chao (甘建超)ab, Xiao Xian-Ci (肖先赐)b    

  1. a National Electronic Warfare Laboratory, Chengdu 610036, China; b  Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2003-04-24 Revised:2003-08-14 Online:2004-03-06 Published:2005-07-06
  • Supported by:
    Project supported by the National Defense Foundation of China (Grant No 51435050101DZ0203).

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摘要： A noise reduction method based on weighted manifold decomposition is proposed in this paper, which does not need knowledge of the chaotic dynamics and choosing number of eigenvalues. The simulation indicates that the performance of this method can increase the signal-to-noise ratio of noisy chaotic time series.

关键词: noise reduction, manifold decomposition, project filtering, eigenvector

Abstract: A noise reduction method based on weighted manifold decomposition is proposed in this paper, which does not need knowledge of the chaotic dynamics and choosing number of eigenvalues. The simulation indicates that the performance of this method can increase the signal-to-noise ratio of noisy chaotic time series.

Key words: noise reduction, manifold decomposition, project filtering, eigenvector

中图分类号:  (Time series analysis)

  • 05.45.Tp
05.45.Pq (Numerical simulations of chaotic systems)