Results 251 to 260 of about 2,902,055 (272)
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Missing ordinal patterns in correlated noises
Physica A: Statistical Mechanics and its Applications, 2010Abstract Recent research aiming at the distinction between deterministic or stochastic behavior in observational time series has looked into the properties of the “ordinal patterns” [C. Bandt, B. Pompe, Phys. Rev. Lett. 88 (2002) 174102]. In particular, new insight has been obtained considering the emergence of the so-called “forbidden ordinal ...
Carpi, Laura C. +2 more
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Ordinal pattern based similarity analysis for EEG recordings
Clinical Neurophysiology, 2010Ordinal patterns analysis such as permutation entropy of the EEG series has been found to usefully track brain dynamics and has been applied to detect changes in the dynamics of EEG data. In order to further investigate hidden nonlinear dynamical characteristics in EEG data for differentiating brain states, this paper proposes a novel dissimilarity ...
Gaoxiang, Ouyang +3 more
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Ordinal Pattern: A New Descriptor for Brain Connectivity Networks
IEEE Transactions on Medical Imaging, 2018Brain connectivity networks based on magnetic resonance imaging (MRI) or functional MRI (fMRI) data provide a straightforward way to quantify the structural or functional systems of the brain. Currently, there are several network descriptors developed for representing and analyzing brain connectivity networks.
Daoqiang Zhang +5 more
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Dissimilarity measure based on ordinal pattern for physiological signals
Communications in Nonlinear Science and Numerical Simulation, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Wang +3 more
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Quantifying interdependence using the missing joint ordinal patterns
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019In this paper, we develop the concept of forbidden/missing ordinal patterns into the forbidden/missing joint ordinal patterns and propose the ratio of the number of missing joint ordinal patterns (RMJPs) as a sign of interdependence. RMJP in a surrogate analysis can be used to differentiate the forbidden joint ordinal patterns from the missing joint ...
Yi, Yin +4 more
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Variance of permutation entropy and the influence of ordinal pattern selection
Physical Review E, 2017Permutation entropy (PE) is a widely used measure for complexity, often used to distinguish between complex systems (or complex systems in different states). Here, the PE variance for a stationary time series is derived, and the influence of ordinal pattern selection, specifically whether the ordinal patterns are permitted to overlap or not, is ...
Douglas J, Little, Deb M, Kane
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Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis
2016Brain connectivity networks have been widely used for diagnosis of brain-related diseases, e.g., Alzheimer’s disease (AD), mild cognitive impairment (MCI), and attention deficit hyperactivity disorder (ADHD). Although several network descriptors have been designed for representing brain connectivity networks, most of them not only ignore the important ...
Mingxia Liu 0001 +3 more
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Shrimp structure as a test bed for ordinal pattern measures
Chaos: An Interdisciplinary Journal of Nonlinear ScienceIdentifying complex periodic windows surrounded by chaos in the two or higher dimensional parameter space of certain dynamical systems is a challenging task for time series analysis based on complex network approaches. This holds particularly true for the case of shrimp structures, where different bifurcations occur when crossing different domain ...
Yong Zou +4 more
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Permutation Entropy and Ordinal Patterns as a Resilience Indicator
2023 7th International Conference on System Reliability and Safety (ICSRS), 2023Orlando Durán +2 more
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Ordinal patterns for characterization of transition to extreme events
Chaos: An Interdisciplinary Journal of Nonlinear ScienceOrdinal patterns serve as a symbolic representation to explore the complex features of distinct nonlinear dynamical systems and real-world data. This work focuses on unveiling the effectiveness of ordinal pattern measures to illustrate the intricate processes associated with extreme events and other dynamics.
S. Leo Kingston +2 more
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