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  1. 361

    Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

    Published 2017-01-01
    “…The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. …”
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    Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering by Tianjing He, Rongzhen Zhao, Yaochun Wu, Chao Yang

    Published 2021-01-01
    “…To tackle this problem, this paper proposes a novel fault identification method based on improved variational mode decomposition (IVMD), multiscale permutation entropy (MPE), and adaptive GG clustering. Firstly, the original vibration signal is decomposed into a set of mode components adaptively by IVMD, and the mode components that are highly correlated with the original signal are selected to reconstruct the original signal. …”
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    Information Flow from COVID-19 Pandemic to Islamic and Conventional Equities: An ICEEMDAN-Induced Transfer Entropy Analysis by Ahmed Bossman

    Published 2021-01-01
    “…To the studied equities markets, a novel technique based on a denoised frequency-domain entropy paradigm was applied. The operability of entrenched market dynamics in the long-term horizon of the COVID-19 pandemic period is reinforced by the results. …”
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    Situated Information Flow between Food Commodity and Regional Equity Markets: An EEMD-Based Transfer Entropy Analysis by Samuel Kwaku Agyei, Peterson Owusu Junior, Ahmed Bossman, Emmanuel Yaw Arhin

    Published 2022-01-01
    “…From the ensemble empirical mode decomposition (EEMD)-based Rényian transfer entropy analysis employed, we find significant bidirectional information flow between the food commodities and regional equity markets. …”
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    Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Shuang Ma

    Published 2014-01-01
    “…To improve the diagnosis capacity of rotor vibration fault in stochastic process, an effective fault diagnosis method (named Process Power Spectrum Entropy (PPSE) and Support Vector Machine (SVM) (PPSE-SVM, for short) method) was proposed. …”
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    A Fault Diagnosis Method for One-Dimensional Vibration Signal Based on Multiresolution tlsDMD and Approximate Entropy by Zhang Dang, Yong Lv, Yourong Li, Guoqian Wei

    Published 2019-01-01
    “…Total least squares DMD algorithm is performed on each level to solve the noise sensitivity problem. Approximate entropy (ApEn) is performed on the grouped multiscale spatiotemporal modes that represent the dynamic characteristic information of the original signal. …”
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