Results 41 to 50 of about 389,267 (294)

Generalized Composite Multiscale Diversity Entropy and Its Application for Fault Diagnosis of Rolling Bearing in Automotive Production Line

IEEE Access, 2021
This paper considers the entropy based feature extraction method for the fault diagnosis of rolling bearings in automobile production line, where the fault information is difficult to identify due to the strong nonlinear and non-stationary ...
Chuang Liang, Changzheng Chen
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Multivariate multiscale entropy for brain consciousness analysis [PDF]

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
The recently introduced multiscale entropy (MSE) method accounts for long range correlations over multiple time scales and can therefore reveal the complexity of biological signals. The existing MSE algorithm deals with scalar time series whereas multivariate time series are common in experimental and biological systems.
Mosabber Uddin Ahmed, Ling Li 0010, Jianting Cao, Danilo P. Mandic   +3 more
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Shape classification via image-based multiscale description [PDF]

, 2011
We introduce a new multiscale Fourier-based object description in 2-D space using a low-pass Gaussian filter (LPGF) and a high-pass Gaussian filter (HPGF), separately.
Mark S. Nixon, Nixon, Mark, Cem Direkoğlu, Direkoglu, Cem   +3 more
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Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification

, 2021
International audienceTwo-dimensional fuzzy entropy, dispersion entropy, and their multiscale extensions (MFuzzyEn2D and MDispEn2D, respectively) have shown promising results for image classifications.
Furlong, Ryan, Vincent O’Brien, Ryan Furlong, Anne Humeau-Heurtier, Hilal, Mirvana, Mirvana Hilal, O’brien, Vincent, Humeau-Heurtier, Anne   +7 more
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Coarse-graining and the Haar wavelet transform for multiscale analysis

Bioelectronic Medicine, 2022
Background Multiscale entropy (MSE) has become increasingly common as a quantitative tool for analysis of physiological signals. The MSE computation involves first decomposing a signal into multiple sub-signal ‘scales’ using a coarse-graining algorithm ...
William J. Bosl, Tobias Loddenkemper, Solveig Vieluf   +2 more
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Proper generalized decomposition of time-multiscale models [PDF]

, 2011
Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies.
CHINESTA SORIA, Francisco, DOBLARÉ, Manuel, Chinesta, Francisco, CUETO, Elias, Amine Ammar, Francisco Chinesta, Manuel Doblaré, Elías Cueto, AMMAR, Amine   +8 more
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A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis [PDF]

, 2016
The recently introduced multivariate multiscale entropy (MMSE) has been successfully used to quantify structural complexity in terms of nonlinear within- and cross-channel correlations as well as to reveal complex dynamical couplings and various degrees ...
Danilo Mandic, Ahmed, MU, Thayyil, S, Danilo P. Mandic, Mosabber Ahmed, Chanwimalueang, T, Mosabber U. Ahmed, Theerasak Chanwimalueang, Sudhin Thayyil, Mandic, DP   +9 more
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Combination of R-R Interval and Crest Time in Assessing Complexity Using Multiscale Cross-Approximate Entropy in Normal and Diabetic Subjects

Entropy, 2018
The present study aimed at testing the hypothesis that application of multiscale cross-approximate entropy (MCAE) analysis in the study of nonlinear coupling behavior of two synchronized time series of different natures [i.e., R-R interval (RRI) and ...
Ming-Xia Xiao, Hai-Cheng Wei, Ya-Jie Xu, Hsien-Tsai Wu, Cheuk-Kwan Sun   +4 more
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Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras

Entropy, 2022
The extension of sample entropy methodologies to multivariate signals has received considerable attention, with traditional univariate entropy methods, such as sample entropy (SampEn) and fuzzy entropy (FuzzyEn), introduced to measure the complexity of ...
Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic   +2 more
doaj   +1 more source

Learning Entropy: Multiscale Measure for Incremental Learning [PDF]

Entropy, 2013
First, this paper recalls a recently introduced method of adaptive monitoring of dynamical systems and presents the most recent extension with a multiscale-enhanced approach. Then, it is shown that this concept of real-time data monitoring establishes a novel non-Shannon and non-probabilistic concept of novelty quantification, i.e., Entropy of Learning,
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