Translational Recurrences: From Mathematical Theory to Real-World Applications

Translational Recurrences: From Mathematical Theory to Real-World Applications

Paperback(Softcover reprint of the original 1st ed. 2014)

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Product Details

ISBN-13: 9783319350059
Publisher: Springer International Publishing
Publication date: 08/31/2016
Series: Springer Proceedings in Mathematics & Statistics , #103
Edition description: Softcover reprint of the original 1st ed. 2014
Pages: 230
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

1 A Recurrence Plot-based Distance Measure: S. Spiegel et al.- 2 Fast computation of recurrences in long time series: T. Rawald et al.- 3 Unthresholded recurrence plots for complex-valued representations of narrow band signals: A. Sipers et al.- 4 Quantifying redundancy and information content of lines in recurrence plots using the theory of framework rigidity: A. Sipers et al.- 5 Recent advances in non-stationary signal processing based on Recurrence Plot Analysis concept: C. Ioana et al.- 6 A Recurrence-Based Approach for Feature Extraction in Brain-Computer Interface Systems: L.F.S. Uribe et al.- 7 Recurrence plot analysis of the response to active standing of heart rate, systolic blood pressure and systolic blood volume: H. González Gómez.- 8 Recurrence Quantification Analysis as a tool for discrimination among different dynamics classes - the Heart Rate Variability associated to different age groups: L.dos Santos et al.- 9 Analyzing Social Interactions: The promises and challenges of using Cross Recurrence Quantification Analysis: R. Fusaroli et al.- 10 Cross Recurrence Quantification Analysis of the Influence of Coupling Constraints on Interpersonal Coordination and Communication: M.T.Tolston et al.- 11 Recurrence Quantification as an Analysis for Global Coordination and Complexity Matching: C.A. Coey et al.- 12 Synchronicity Assessment using a Non-Parametric Dynamic Dissimilarity Measure: P. Crowley et al.- 13 Understanding the Interrelationship Between Commodity & Stock Indices Daily Movement Using ACE and Recurrence Analysis: K. Guhathakurta et al.

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