Results 261 to 270 of about 4,559,445 (294)
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A Novel Adaptive Sampling by Tsallis Entropy
Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007Monte Carlo is the only choice of physically correct method to compute the problem of global illumination in the field of realistic image synthesis. Adaptive sampling is an appealing tool to eliminate noise, which is one of the main problems of Monte Carlo based global illumination algorithms.
Qing Xu 0002 +3 more
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Physiological time-series analysis using approximate entropy and sample entropy
American Journal of Physiology-Heart and Circulatory Physiology, 2000Entropy, as it relates to dynamical systems, is the rate of information production. Methods for estimation of the entropy of a system represented by a time series are not, however, well suited to analysis of the short and noisy data sets encountered in cardiovascular and other biological studies.
J S, Richman, J R, Moorman
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Ectopic beats in approximate entropy and sample entropy-based HRV assessment
International Journal of Systems Science, 2012Approximate entropy (ApEn) and sample entropy (SampEn) are the promising techniques for extracting complex characteristics of cardiovascular variability. Ectopic beats, originating from other than the normal site, are the artefacts contributing a serious limitation to heart rate variability (HRV) analysis. The approaches like deletion and interpolation
Butta Singh +3 more
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Cardiac variability time-series analysis by sample entropy and multiscale entropy
International Journal of Medical Engineering and Informatics, 2015Ever since the use of heart rate variability (HRV) as a tool for quantification of autonomic nervous system dynamics has become popular, the interest in exploring the hidden complexities of physiologic time series has increased immensely. The sample entropy (SampEn) has been in use for quite some time as a complexity measure.
Puneeta Marwaha, Ramesh Kumar Sunkaria
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Asymptotics in Survey Sampling for High Entropy Sampling Designs
2015The aim of the paper is to establish asymptotics in sampling finite populations. Asymptotic results are first established for an analogous of the empirical process based on the Hajek estimator of the population distribution function and then extended to Hadamard-differentiable functions. As an application, asymptotic normality of estimated quantiles is
CONTI, Pier Luigi, Marella, Daniela
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Communications in Nonlinear Science and Numerical Simulation, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Wu, Pengjian Shang, Yilong Li
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Wu, Pengjian Shang, Yilong Li
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Acceleration of Fast Sample Entropy for FPGAs
IEEE Transactions on ComputersComplexity measurement, essential in diverse fields like finance, biomedicine, climate science, and network traffic, demands real-time computation to mitigate risks and losses. Sample Entropy (SampEn) is an efficacious metric which quantifies the complexity by assessing the similarities among microscale patterns within the time-series data ...
Chao Chen 0042 +3 more
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Genetic algorithms with entropy-Boltzmann samplings
Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), 2001Entropy-Boltzmann samplings for genetic algorithms are proposed. This selection method is based on the entropy and importance sampling methods in Monte Carlo simulation often used in statistical physics. With the selection methods, the algorithm can explore as many configurations as possible while exploiting better configurations, consequently helping ...
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Computation of Approximate Entropy and Sample Entropy for Characterization of Respiratory Diseases
Proceedings of the 2023 13th International Conference on Biomedical Engineering and Technology, 2023Mushikiwabeza Alexie +2 more
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Radar Emitter Signal Recognition Based on Sample Entropy and Fuzzy Entropy
2012Aiming at the problems of the radar emitter signal (RES) recognition based on intra-pulse feature, a novel entropy feature extraction approach is proposed. In this method the sample entropy (SampEn) and fuzzy entropy (FzzyEn) are presented to extract features from RES.
Shiqiang Wang +4 more
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