Multiscale Entropy Approaches and Their Applications III
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 8445
Special Issue Editor
Interests: signal and image processing for the biomedical field; multiscale and entropy-based analysis; image texture analysis; nonlinear analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multiscale entropy measures have been proposed from the beginning of the 2000s to evaluate the complexity of time series, by taking into account the multiple time scales in physical systems. Since then, these approaches have received a great deal of attention and have been used in a large range of applications. Multivariate approaches have also been developed.
The algorithms for a multiscale entropy approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks: approximate entropy, sample entropy, permutation entropy, fuzzy entropy, distribution entropy, dispersion entropy, etc.
Furthermore, recently entropy measures for multidimensional data (images, volumes) have been proposed.
In this Special Issue, we would like to collect papers focusing on both the theory and applications of multiscale entropy approaches. Any kind of entropy measure is considered (see above).
The main topics of this Special Issue include (but are not limited to):
- Improvement of the coarse-graining concept;
- Improvement in the entropy measure itself;
- Applications of the multiscale approach on univariate or multivariate time series.
One-dimensional and multidimensional data are welcome. Applications can include biomedical engineering, chemical engineering, hydrology, pharmaceutical sciences, financial analyses, neurosciences, industrial engineering, geosciences, information sciences, etc.
Volume I: Multiscale Entropy Approaches and Their Applications
Volume II: Multiscale Entropy Approaches and Their Applications II
Dr. Anne Humeau-Heurtier
Guest Editor
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