Permutation entropy and its main biomedical and econophysics applications: a review
Entropy is a powerful tool for the analysis of time series, as it allows describing the
probability distributions of the possible state of a system, and therefore the information …
probability distributions of the possible state of a system, and therefore the information …
Practical considerations of permutation entropy: A tutorial review
M Riedl, A Müller, N Wessel - The European Physical Journal Special …, 2013 - Springer
More than ten years ago Bandt and Pompe introduced a new measure to quantify
complexity in measured time series. During these ten years, this measure has been modified …
complexity in measured time series. During these ten years, this measure has been modified …
Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach
In this paper we introduce a multiscale symbolic information-theory approach for
discriminating nonlinear deterministic and stochastic dynamics from time series associated …
discriminating nonlinear deterministic and stochastic dynamics from time series associated …
[HTML][HTML] Permutation entropy based time series analysis: Equalities in the input signal can lead to false conclusions
A symbolic encoding scheme, based on the ordinal relation between the amplitude of
neighboring values of a given data sequence, should be implemented before estimating the …
neighboring values of a given data sequence, should be implemented before estimating the …
20 years of ordinal patterns: Perspectives and challenges
In 2002, in a seminal article, Bandt and Pompe proposed a new methodology for the
analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is …
analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is …
Application of improved multi-strategy MPA-VMD in pipeline leakage detection
Y Hou, Y Zhang, J Lu, N Hou… - Systems Science & Control …, 2023 - Taylor & Francis
This paper is concerned with the development of improved multi-strategy MPA-VMD method
and its application in pipeline leakage detection. Aiming at the shortcomings of the marine …
and its application in pipeline leakage detection. Aiming at the shortcomings of the marine …
A new kind of permutation entropy used to classify sleep stages from invisible EEG microstructure
C Bandt - Entropy, 2017 - mdpi.com
Permutation entropy and order patterns in an EEG signal have been applied by several
authors to study sleep, anesthesia, and epileptic absences. Here, we discuss a new version …
authors to study sleep, anesthesia, and epileptic absences. Here, we discuss a new version …
Slope entropy: A new time series complexity estimator based on both symbolic patterns and amplitude information
D Cuesta-Frau - Entropy, 2019 - mdpi.com
The development of new measures and algorithms to quantify the entropy or related
concepts of a data series is a continuous effort that has brought many innovations in this …
concepts of a data series is a continuous effort that has brought many innovations in this …
Permutation Jensen-Shannon distance: A versatile and fast symbolic tool for complex time-series analysis
The main motivation of this paper is to introduce the permutation Jensen-Shannon distance,
a symbolic tool able to quantify the degree of similarity between two arbitrary time series …
a symbolic tool able to quantify the degree of similarity between two arbitrary time series …
ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
AAB Pessa, HV Ribeiro - Chaos: An Interdisciplinary Journal of …, 2021 - pubs.aip.org
Since Bandt and Pompe's seminal work, permutation entropy has been used in several
applications and is now an essential tool for time series analysis. Beyond becoming a …
applications and is now an essential tool for time series analysis. Beyond becoming a …