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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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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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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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Improved method for detecting weak abrupt information based on permutation entropy [PDF]
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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Estimating Postural Stability Using Improved Permutation Entropy via TUG Accelerometer Data for Community-Dwelling Elderly People [PDF]
Entropy, 2020 To develop an effective fall prevention program, clinicians must first identify the elderly people at risk of falling and then take the most appropriate interventions to reduce or eliminate preventable falls.
Chia-Hsuan Lee +3 more
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A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy [PDF]
Entropy, 2019 Extracting useful features from ship-radiated noise can improve the performance of passive sonar. The entropy feature is an important supplement to existing technologies for ship classification.
Zhe Chen +5 more
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AcousticsIn the realm of underwater active target detection, the presence of reverberation is an important factor that significantly impacts the efficacy of detection.
Jing Zhou +3 more
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Entropy, 2021 The health condition of the rolling bearing seriously affects the operation of the whole mechanical system. When the rolling bearing parts fail, the time series collected in the field generally shows strong nonlinearity and non-stationarity.
Yi Zhang, Yong Lv, Mao Ge
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Information, 2022 Recognition of biological tissue denaturation is a vital work in high-intensity focused ultrasound (HIFU) therapy. Multiscale permutation entropy (MPE) is a nonlinear signal processing method for feature extraction, widely applied to the recognition of ...
Ziqi Peng, Xian Zhang, Jing Cao, Bei Liu
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Entropy, 2017 The noise of near-infrared spectra and spectral information redundancy can affect the accuracy of calibration and prediction models in near-infrared analytical technology.
Xiaoli Li, Chengwei Li
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