Abstract
The K 2-entropy is evaluated for experimental time series as well as for numerically simulated ones. The conventional calculation procedure leads to results that can be extrapolated to obtain a K 2-value for the time series, but in the case of experimental systems the outcome is hardly significant for a classification of the states. The reason for this is a distortion of distances due to the phase space embedding procedure by time-delay coordinates. Therefore, a K 2-calculation based on dimension scaled distances (DSD) is suggested. A comparison to the often suggested use of the maximum norm is discussed. By the application of DSD the convergence problems are avoided and clear results were obtained in all investigated situations.
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