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计算机科学 2007
Determining the Correlation Dimension of Noisy Chaotic Time Series with Wavelet Decomposition
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Abstract:
Correlation dimension is an important parameters in the analysis of chaotic time series. With analyzing the influence of the noise in chaotic time series on determining the correlation dimension, a method of determining the correlation dimension of noisy chaotic time series is proposed, the numeric result has shown that the method is valid.