Influence of noise on the sample entropy algorithm

DOI10.1063/1.3081406zbMath1311.37067OpenAlexW1992969313WikidataQ51843635 ScholiaQ51843635MaRDI QIDQ5251412

Julien Lagarde, Frédéric Bouchara, Sofiane Ramdani

Publication date: 20 May 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.3081406

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Measures of information, entropy (94A17)

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Cites Work

• Testing for nonlinearity in time series: the method of surrogate data
• The effect of time delay on approximate \& sample entropy calculations
• Surrogate time series.
• Independent coordinates for strange attractors from mutual information
• Approximate entropy as a measure of system complexity.
• Nonlinear Time Series Analysis