Results 21 to 30 of about 11,187 (257)
On the relation of KS entropy and permutation entropy [PDF]
Physica D: Nonlinear Phenomena, 2012 Since Bandt et al. have shown that the permutation entropy and the Kolmogorov-Sinai entropy coincide for piecewise monotone interval maps, the relationship of both entropies for time-discrete dynamical systems is of a certain interest. The aim of this paper is a discussion of this relationship on the basis of an ordinal characterization of the ...
Keller, Karsten +2 more
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Unveiling the Connectivity of Complex Networks Using Ordinal Transition Methods
Entropy, 2023 Ordinal measures provide a valuable collection of tools for analyzing correlated data series. However, using these methods to understand information interchange in the networks of dynamical systems, and uncover the interplay between dynamics and ...
Juan A. Almendral +2 more
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Improved method for detecting weak abrupt information based on permutation entropy
Advances in Mechanical Engineering, 2017 As a dynamic detecting method for abrupt information, permutation entropy could effectively reflect the subtle change in time series data, which is also simple and can be computed conveniently.
Yongjun Shen, Junfeng Wang, Shaopu Yang
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Entropy, 2016 In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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Measuring the complexity of securities’ time series in VN30 index: A permutation entropy approach
Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kinh tế và Quản trị kinh doanh, 2020 The paper applies the Bandt and Pompe (2002) method to measure the complexity of daily close price and daily return of VN30’s stocks during the period from January 2000 to August 2018.
Trần Thị Tuấn Anh
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The asymptotic distribution of the permutation entropy
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023 Ordinal patterns serve as a robust symbolic transformation technique, enabling the unveiling of latent dynamics within time series data. This methodology involves constructing histograms of patterns, followed by the calculation of both entropy and statistical complexity—an avenue yet to be fully understood in terms of its statistical properties.
A. A. Rey +3 more
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On the automatic parameter selection for permutation entropy [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 Permutation Entropy (PE) is a cost effective tool for summarizing the complexity of a time series. It has been used in many applications including damage detection, disease forecasting, detection of dynamical changes, and financial volatility analysis.
Audun Myers, Firas A. Khasawneh
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Jixie chuandong, 2023 When a gearbox transmission system fails, the multi-scale mean permutation entropy (MMPE) of different vibration signals corresponds to the fault state to a certain extent.
Guo Panpan +3 more
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Permutation Complexity and Coupling Measures in Hidden Markov Models
Entropy, 2013 Recently, the duality between values (words) and orderings (permutations) has been proposed by the authors as a basis to discuss the relationship between information theoretic measures for finite-alphabet stationary stochastic processes and their ...
Taichi Haruna, Kohei Nakajima
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Epileptic Seizure Prediction Based on Permutation Entropy [PDF]
Frontiers in Computational Neuroscience, 2018 Epilepsy is a chronic non-communicable disorder of the brain that affects individuals of all ages. It is caused by a sudden abnormal discharge of brain neurons leading to temporary dysfunction. In this regard, if seizures could be predicted a reasonable period of time before their occurrence, epilepsy patients could take precautions against them and ...
Yanli Yang +8 more
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