Detecting regular dynamics from time series using permutations slopes
نویسندگان
چکیده
We introduce the equivalent noise level (ENL) as a strongly robust complexity parameter. It combines the permutation largest slope entropy (PLSE) for the analysis of the regularity of any type of time series and the differential dynamical quantization (DDQ) for noise reduction. Simulation results attest the efficiency of the ENL for complexity analysis of noisy series of observations.
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تاریخ انتشار 2014