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We present an adaptation of the standard Grassberger–Proccacia (GP) algorithm for estimating the correlation dimension of a time series in a non-subjective manner. The validity and accuracy of this approach are tested using different types of time series, such as those from standard chaotic systems, pure white and colored noise and chaotic systems with added noise. The effectiveness of the scheme...
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