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

Fuzzy dispersion entropy (FuzzDE) is a very recently proposed non-linear dynamical
indicator, which combines the advantages of both dispersion entropy (DE) and fuzzy entropy …

Nonlinear dynamical index can measure the complexity for a single time scale of the series,
and when combined with coarse-grained methods, multiple time scales can be obtained to …

Abstract Lempel–Ziv complexity (LZC), as a nonlinear feature in information science, has
shown great promise in detecting correlations and capturing dynamic changes in single …

Ship-radiated noise (SN) is one of the most critical signals in the complex marine
environment; however, it is inevitably contaminated by the marine environment's noise as …

Entropy-based methods have shown promise in detecting dynamic changes in non-linear
signals and have been widely applied in fault diagnosis for rotating machinery. However …

Due to the high complexity of the marine environment, underwater acoustic signal (UAS)
contains a lot of background noise, which makes it more difficult to extract its features. To …

Altered electroencephalography (EEG) activity in schizotypal individuals is a powerful
indicator of proneness towards psychosis. This alteration is beyond decreased alpha power …

Rotary machines often exhibit nonlinear behavior due to factors such as nonlinear stiffness,
damping, friction, coupling effects, and defects. Consequently, their vibration signals display …

The bearings have been exposed to a noisy environment for an extended period, making it
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …