The recently proposed fluctuation-based dispersion entropy (FDE) can distinguish various
physiological states of biomedical time series, and is usually used in the field of …

Recently, coded permutation entropy has been proposed, which enhances the noise
immunity by quadratic partitioning on the basis of permutation entropy. However, coded …

Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the
uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in …

Aiming at the problem of ship-radiated noise feature extraction under the complex ocean
background, a novel nonlinear dynamic analysis method, named multi-scale reverse …

In order to improve the classification performance of ship-radiated noise effectively, a
comparative study of four multi-scale entropies is carried out by combining with grey …

Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the
dynamical variability of the fluctuations of signals. It is based on Shannon entropy and …

Objective: We propose a novel complexity measure to overcome the deficiencies of the
widespread and powerful multiscale entropy (MSE), including, MSE values may be …

Permutation entropy (PE), as one of the powerful complexity measures for analyzing time
series, has advantages of easy implementation and high efficiency. In order to improve the …

To improve the feature extraction of ship-radiated noise in a complex ocean environment,
fluctuation-based dispersion entropy is used to extract the features of ten types of ship …

Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-
channel signals has been extensively used in biomedical engineering and neuroscience …