DENOISING METHOD BASED ON SINGULAR SPECTRUM ANALYSIS AND ITS APPLICATIONS IN CALCULATION OF MAXIMAL LIAPUNOV EXPONENT

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 PC...

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Bibliographic Details
Published in:Applied mathematics and mechanics 2005-02, Vol.26 (2), p.179-184
Main Author: 刘元峰 赵玫
Format: Article
Language:English
Subjects:
Liapunov最大指数
奇异光谱
混沌系统
降噪方法
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Summary: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.
ISSN:0253-4827
1573-2754
DOI:10.1007/bf02438239