Results 41 to 50 of about 23,082 (239)
Feature extraction method of ship-radiated noise based on dispersion entropy: A review
There is abundant ship information in ship-radiated noise, which is helpful for ship target recognition, classification and tracking. However, owing to the increasing complexity of the marine environment, it makes difficult to extract S-RN features ...
Guanni Ji
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Slope entropy (SlEn) is a time series complexity indicator proposed in recent years, which has shown excellent performance in the fields of medical and hydroacoustics.
Yuxing Li, Lingxia Mu, Peiyuan Gao
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Amplitude- and Frequency-based Dispersion Patterns and Entropy
Permutation patterns-based approaches, such as permutation entropy (PerEn), have been widely and successfully used to analyze data. However, these methods have two main shortcomings. First, when a series is symbolized based on permutation patterns, repetition as an unavoidable phenomenon in data is not took in to account. Second, they consider only the
Hamed Azami, Javier Escudero
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A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Haocheng Su +5 more
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The recognition of partial discharge mode is an important indicator of the insulation condition in transformers, based on which maintenance can be arranged. Discharge feature extraction is the key to recognize discharge mode. To solve the problem of poor
Wang Wenbo, Sun Lin, Wang Bin, Yu Min
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Accurate health evolution trend forecasting of aero-engine is essential for operation reliability and maintenance costs of aeronautical equipment. In this study, an intelligent deep learning method, systematically blending the dispersion entropy-based ...
Wei Jiang +5 more
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Modified dispersion relations and black hole entropy [PDF]
We compute the black hole entropy in the context of the Modified Dispersion Relations using the brick wall model. An explicit dependence of the radial coordinate approaching the horizon is shown to analyze the behavior of the divergence. We find that, due to the modification of the density of states, the brick wall can be eliminated.
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Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal.
Frederico Sassoli Fazan +4 more
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Entanglement Entropy of Dispersive Media from Thermodynamic Entropy in One Higher Dimension
Corrected typos.
Maghrebi, Mohammad F., Reid, M. T. Homer
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Multi-Distance Dispersion Entropy for ECG Signal Classification
Automatic detection of heartbeat is critical for early cardiovascular disease prevention and diagnosis. Traditional feature methodologies based on expert knowledge cannot abstract and represent multidimensional and multi-view information. Hence traditional research on heartbeat detection pattern recognition cannot produce adequate results. The proposed
Sugondo Hadiyoso +3 more
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