Quantifying randomness and complexity of a signal via maximum fuzzy membership difference entropy
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DOI: 10.1016/j.measurement.2021.109053
Abstract: Abstract Traditional entropies are powerful tools for dynamic analysis. However, they can merely measure one aspect of the nonlinear characteristics of a signal, such as irregularity, complexity and etc. To characterize randomness and complexity of… read more here.
Keywords: entropy; complexity; complexity signal; maximum fuzzy ... See more keywords