Results 21 to 30 of about 2,902,055 (272)
Including the Magnitude Variability of a Signal in the Ordinal Pattern Analysis
EntropyOne of the most popular and innovative methods to analyse signals is by using Ordinal Patterns (OPs). The OP encoding is based on transforming a (univariate) signal into a symbolic sequence of OPs, where each OP represents the number of permutations ...
Melvyn Tyloo +2 more
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Causality and the entropy–complexity plane: Robustness and missing ordinal patterns [PDF]
Physica A: Statistical Mechanics and Its Applications, 2012 submitted to Physica ...
A Plastino +2 more
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EntropyOrdinal patterns have proven to be a valuable tool in many fields. Here, we address the need for theoretical models. A paradigmatic example shows that a model for frequencies of ordinal patterns can be determined without any numerical values.
Christoph Bandt
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Augmenting Granger Causality through continuous ordinal patterns
Communications in Nonlinear Science and Numerical SimulationPeer ...
Massimiliano Zanin
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A Novel Recognition Strategy for Epilepsy EEG Signals Based on Conditional Entropy of Ordinal Patterns [PDF]
Entropy, 2020 Zhuang Fu, Xian Liu
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Analysis of signals from air conditioner compressors with ordinal patterns and machine learning
Journal of Low Frequency Noise, Vibration and Active ControlMost machines are equipped with devices that monitor their operation. Air conditioners, in particular, are routinely monitored through various measurements.
Keila Barbosa +2 more
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Statistically Significant Pattern Mining with Ordinal Utility [PDF]
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 Statistically significant patterns mining (SSPM) is an essential and challenging data mining task in the field of knowledge discovery in databases (KDD), in which each pattern is evaluated via a hypothesis test. Our study aims to introduce a preference relation into patterns and to discover the most preferred patterns under the constraint of ...
Thien Q. Tran +3 more
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Permutation Entropy of Weakly Noise-Affected Signals
Entropy, 2021 We analyze the permutation entropy of deterministic chaotic signals affected by a weak observational noise. We investigate the scaling dependence of the entropy increase on both the noise amplitude and the window length used to encode the time series. In
Leonardo Ricci, Antonio Politi
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Ordinal pattern dependence as a multivariate dependence measure [PDF]
Journal of Multivariate Analysis, 2021 In this article, we show that the recently introduced ordinal pattern dependence fits into the axiomatic framework of general multivariate dependence measures, i.e., measures of dependence between two multivariate random objects. Furthermore, we consider multivariate generalizations of established univariate dependence measures like Kendall's $τ ...
Annika Betken +3 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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