Results 1 to 10 of about 11,187 (257)
On Rényi Permutation Entropy [PDF]
Entropy, 2021 Among various modifications of the permutation entropy defined as the Shannon entropy of the ordinal pattern distribution underlying a system, a variant based on Rényi entropies was considered in a few papers.
Tim Gutjahr, Karsten Keller
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Research on the Threshold Determination Method of the Duffing Chaotic System Based on Improved Permutation Entropy and Poincaré Mapping [PDF]
Entropy, 2023 The transition from a chaotic to a periodic state in the Duffing chaotic oscillator detection system is crucial in detecting weak signals. However, accurately determining the critical threshold for this transition remains a challenging problem ...
Jing Zhou, Yaan Li, Mingzhou Wang
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Ensemble Improved Permutation Entropy: A New Approach for Time Series Analysis [PDF]
Entropy, 2023 Entropy quantification approaches have gained considerable attention in engineering applications. However, certain limitations persist, including the strong dependence on parameter selection, limited discriminating power, and low robustness to noise.
Zhe Chen +3 more
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Calculating Permutation Entropy without Permutations [PDF]
Complexity, 2020 A method for analyzing sequential data sets, similar to the permutation entropy one, is discussed. The characteristic features of this method are as follows: it preserves information about equal values, if any, in the embedding vectors; it is exempt from
Alexander K. Vidybida
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Permutation Entropy Based on Non-Uniform Embedding [PDF]
Entropy, 2018 A novel visualization scheme for permutation entropy is presented in this paper. The proposed scheme is based on non-uniform attractor embedding of the investigated time series.
Mei Tao +4 more
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Permutation Entropy of Weakly Noise-Affected Signals. [PDF]
Entropy (Basel), 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 order to shed light on the scenario, we perform a multifractal analysis, which allows highlighting ...
Ricci L, Politi A.
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Permutation Entropy for Signal Analysis [PDF]
Discrete Mathematics & Theoretical Computer ScienceShannon Entropy is the preeminent tool for measuring the level of uncertainty (and conversely, information content) in a random variable. In the field of communications, entropy can be used to express the information content of given signals (represented
Bill Kay +6 more
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Anomaly Detection in Paleoclimate Records Using Permutation Entropy [PDF]
Entropy, 2018 Permutation entropy techniques can be useful for identifying anomalies in paleoclimate data records, including noise, outliers, and post-processing issues.
Joshua Garland +5 more
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis [PDF]
EntropyTo enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE) and its multiscale variant (MGGDIPE) are proposed in this paper.
Kun Zheng +4 more
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Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 The estimation of the qualitative behaviour of fractional Brownian motion is an important topic for modelling real-world applications. Permutation entropy is a well-known approach to quantify the complexity of univariate time series in a scalar-valued ...
Marisa Mohr +2 more
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