DISTANCES OF TIME SERIES COMPONENTS BY MEANS OF SYMBOLIC DYNAMICS

DOI10.1142/S0218127404009387zbMath1099.37515OpenAlexW2075361603MaRDI QIDQ4655595

Katharina Wittfeld, Karsten Keller

Publication date: 8 March 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127404009387

zbMATH Keywords

contingencysymbolic dynamicscorrespondence analysisTime series analysisEEG analysis

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Neural biology (92C20) Dynamical systems in biology (37N25) Time series analysis of dynamical systems (37M10) Symbolic dynamics (37B10)

Related Items

On a weighted generalization of Kendall's tau distance, Permutation entropy and its main biomedical and econophysics applications: a review, Detecting event-related recurrences by symbolic analysis: applications to human language processing, Ordinal symbolic analysis and its application to biomedical recordings, On the control of chaotic systems via symbolic time series analysis, Adaptive dissimilarity index for measuring time series proximity, Adaptive clustering for time series: application for identifying cell cycle expressed genes, PARALLELIZING GRAMMATICAL FUNCTIONS: P600 AND P345 REFLECT DIFFERENT COST OF REANALYSIS, ENTROPY AND COMPLEXITY ANALYSIS OF INTRACRANIALLY RECORDED EEG, TIME SERIES FROM THE ORDINAL VIEWPOINT, Transcripts: An algebraic approach to coupled time series, Complementarity in classical dynamical systems, Complexity-based permutation entropies: from deterministic time series to white noise

Cites Work

• Word frequency and entropy of symbolic sequences: A dynamical perspective
• LANGUAGE PROCESSING BY DYNAMICAL SYSTEMS
• ENTROPY AND COMPLEXITY ANALYSIS OF INTRACRANIALLY RECORDED EEG
• Entropy of interval maps via permutations
• Unnamed Item