This study uses the wavelet leaders method to examine multifractal characteristics and multiscale entropy patterns in … the heating oil market. The empirical results based on multiscale entropy show strong evidence of a reduced irregularity …

flow patterns. Taking two coupled Lorenz systems as examples, we first demonstrate that the multivariate multiscale entropy …

multiscale analysis can contribute to comprehension of many complex phenomena. Although multiscale entropy has been applied to …

Multiscale entropy (MSE) is an effective method to measure the complexity of signals from complex systems, which has … entropy as the coarse-graining procedure reduces the length of data considerably at large scales. Refined composite multiscale … entropy (RCMSE) is then developed to solve this problem. However, trends superimposed in signals may significantly affect the …

Time irreversibility is a fundamental property of many time series. We apply the multiscale entropy (MSE) and …

locate the FC stage at first. Then the multiscale entropy (MSE) method is applied to study the difference of behaviors …

Multiscale entropy (MSE) is a prevalent algorithm used to measure the complexity of a time series. Because the coarse … imprecise estimation of entropy or induce undefined entropy. To overcome this obstacle, the modified multiscale entropy (MMSE …

We perform an analysis of cardiac data using multiscale entropy as proposed in Costa et al. [Multiscale entropy … multiscale entropy for the three cases of young healthy hearts, atrial fibrillation and congestive heart failure. We show that …

recently developed multiscale entropy algorithm, which provides a way to measure complexity over a range of scales, we observe …