Applied Mathematics and Mechanics

, Volume 26, Issue 2, pp 179–184 | Cite as

Denoising method based on singular spectrum analysis and its applications in calculation of maximal liapunov exponent

  • Liu Yuan-feng
  • Zhao Mei


An algorithm based on the data-adaptive filtering characteristics of singular spectrum analysis (SSA) is proposed to denoise chaotic data. Firstly, the empirical orthogonal functions (EOFs) and principal components (PCs) of the signal were calculated, reconstruct the signal using the EOFs and PCs, and choose the optimal reconstructing order based on sigular spectrum to obtain the denoised signal. The noise of the signal can influence the calculating precision of maximal Liapunov exponents. The proposed denoising algorithm was applied to the maximal Liapunov exponents calculations of two chaotic system, Henon map and Logistic map. Some numerical results show that this denoising algorithm could improve the calculating precision of maximal Liapunov exponent.

Key words

singular spectrum analysis denoising maximal Liapunov exponent chaotic system 

Chinese Library Classification


2000 Mathematics Subject Classification



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Copyright information

© Editorial Committee of Applied Mathematics and Mechanics 2005

Authors and Affiliations

  • Liu Yuan-feng
    • 1
    • 2
  • Zhao Mei
    • 1
  1. 1.State Key Laboratory of Vibration, Shock and NoiseShanghai Jiaotong UniversityShanghaiP.R. China
  2. 2.Guangdong Kelon Electrical Holdings Co. Ltd.GuangdongP.R.China

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