The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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im August 2016 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в серпні 2016

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The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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The matching energy: a novel approach for measuring complexity in time series

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P1476

The matching energy: a novel approach for measuring complexity in time series

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P2093

J. S. Armand Eyebe Fouda

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P2860

Ergodic theory of chaos and strange attractors

Approximate entropy as a measure of system complexity

Estimation of the Kolmogorov entropy from a chaotic signal

Using permutation entropy to measure the electroencephalographic effects of sevoflurane.

Detecting dynamical changes in time series using the permutation entropy.

Modified permutation-entropy analysis of heartbeat dynamics.

Quantum signatures of chaos in a kicked top.

Distinguishing chaos from noise by scale-dependent Lyapunov exponent.

Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information.

Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients. A preliminary study.

P2888

s11071-016-3014-8

P304

2049-2060

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P31

scholarly article

P356

10.1007/S11071-016-3014-8

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P433

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2016-08-22T00:00:00Z

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