Results 11 to 20 of about 10,393 (254)
(Multiscale) Cross-Entropy Methods: A Review [PDF]
Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
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Multiscale Entropy Approaches and Their Applications. [PDF]
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Humeau-Heurtier A.
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This study proposes a wavelet leaders method with multiscale entropy measures to analyze multiscale complexities in electrocardiogram (ECG) signals to characterize arrhythmia (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR).
Salim Lahmiri
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Multiscale entropy filtering [PDF]
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Jean-Luc Starck, Fionn Murtagh
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Multivariate Multiscale Entropy Analysis [PDF]
Multivariate physical and biological recordings are common and their simultaneous analysis is a prerequisite for the understanding of the complexity of underlying signal generating mechanisms. Traditional entropy measures are maximized for random processes and fail to quantify inherent long-range dependencies in real world data, a key feature of ...
Mosabber Uddin Ahmed, Danilo P. Mandic
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Entropy and Entropy Production in Multiscale Dynamics [PDF]
Abstract Heat conduction is investigated on three levels: equilibrium, Fourier, and Cattaneo. The Fourier level is either the point of departure for investigating the approach to equilibrium or the final stage in the investigation of the approach from the Cattaneo level.
Grmela, Miroslav +4 more
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Hierarchical Multiscale Fluctuation Dispersion Entropy for Fuel Injection System Fault Diagnosis
Marine electronically controlled (ME) two-stroke diesel engines occupy the highest market share in newly-built ships and its fuel injection system is quite different and important.
Shi Qingguo, Hu Yihuai, Yan Guohua
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Refined composite multivariate multiscale fractional fuzzy entropy (RCmvMFFE), which aims to sensitively discriminate different short noisy multichannel financial data, is proposed as a new measure to quantify the complexity dynamics of multichannel time
Huiqin Chu, Zhiyong Wu, Wei Zhang
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A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow
The complexity analysis of traffic flow is important for understanding the property of traffic system. Being good at analyzing the regularity and complexity, multiscale SamEn has attracted much attention and many methods have been proposed for complexity
Zhanyou Cui +3 more
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Wind turbine gearboxes operate in harsh environments; therefore, the resulting gear vibration signal has characteristics of strong nonlinearity, is non-stationary, and has a low signal-to-noise ratio, which indicates that it is difficult to identify wind
Xiaoan Yan +3 more
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