LEADER 06067nam 22008415 450 001 9910299986203321 005 20220224152557.0 010 $a3-319-09531-5 024 7 $a10.1007/978-3-319-09531-8 035 $a(CKB)3710000000227175 035 $a(EBL)1802553 035 $a(SSID)ssj0001338879 035 $a(PQKBManifestationID)11736713 035 $a(PQKBTitleCode)TC0001338879 035 $a(PQKBWorkID)11344878 035 $a(PQKB)10690876 035 $a(MiAaPQ)EBC1802553 035 $a(DE-He213)978-3-319-09531-8 035 $z(PPN)258865407 035 $a(PPN)180625020 035 $a(EXLCZ)993710000000227175 100 $a20140827d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTranslational Recurrences $eFrom Mathematical Theory to Real-World Applications /$fedited by Norbert Marwan, Michael Riley, Alessandro Giuliani, Charles L. Webber, Jr 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (230 p.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v103 300 $aDescription based upon print version of record. 311 0 $a1-322-13802-8 311 0 $a3-319-09530-7 320 $aIncludes bibliographical references at the end of each chapters. 327 $a1 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. 330 $aThis book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantifi cation analysis (RQA) with special emphasis on biological and cognitive systems and the analysis of coupled systems using cross-recurrence methods. Readers will discover new applications and insights into a range of systems provided by recurrence plot analysis and new theoretical and mathematical developments in recurrence plots. Recurrence plot based analysis is a powerful tool that operates on real-world complex systems that are nonlinear, non-stationary, noisy, of any statistical distribution, free of any particular model type, and not particularly long. Quantitative analyses promote the detection of system state changes, synchronized dynamical regimes, or classifi cation of system states. Th e book will be of interest to an interdisciplinary audience of recurrence plot users and researchers interested in time series analysis of complex systems in general. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v103 606 $aComputer mathematics 606 $aStatistics  606 $aMathematical physics 606 $aComputer science$xMathematics 606 $aMathematics 606 $aVisualization 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aTheoretical, Mathematical and Computational Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19005 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034 615 0$aComputer mathematics. 615 0$aStatistics . 615 0$aMathematical physics. 615 0$aComputer science$xMathematics. 615 0$aMathematics. 615 0$aVisualization. 615 14$aComputational Science and Engineering. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aTheoretical, Mathematical and Computational Physics. 615 24$aMathematics of Computing. 615 24$aVisualization. 676 $a517.21 702 $aMarwan$b Norbert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRiley$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGiuliani$b Alessandro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWebber$b Jr., Charles L$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299986203321 996 $aTranslational recurrences$91409899 997 $aUNINA