LEADER 04571nam 22008655 450 001 9910300422503321 005 20200704224555.0 010 $a3-319-07155-6 024 7 $a10.1007/978-3-319-07155-8 035 $a(CKB)3710000000212233 035 $a(DE-He213)978-3-319-07155-8 035 $a(SSID)ssj0001298279 035 $a(PQKBManifestationID)11761672 035 $a(PQKBTitleCode)TC0001298279 035 $a(PQKBWorkID)11248818 035 $a(PQKB)11300670 035 $a(MiAaPQ)EBC5592689 035 $a(PPN)179927035 035 $a(EXLCZ)993710000000212233 100 $a20140731d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecurrence Quantification Analysis $eTheory and Best Practices /$fedited by Charles L. Webber, Jr., Norbert Marwan 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIV, 421 p. 210 illus., 107 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x1860-0832 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-07154-8 327 $aMathematical and Computational Foundations of Recurrence -- Estimating Kolmogorov Entropy from Recurrence Plots.-Identifying Coupling Directions by Recurrences -- Complex Network Analysis of Recurrences -- Time Distortions and Other Oddities -- Dynamic Coupling between Respiratry and Cardiovascular System. 330 $aThe analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field.  Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines.   This multi-authored book intends to comprehensively introduce and showcase recent advances as well as established best practices concerning both theoretical and practical aspects of recurrence plot based analysis.  Edited and authored by leading researcher in the field, the various chapters address an interdisciplinary readership, ranging from theoretical physicists to application-oriented scientists in all data-providing disciplines. 410 0$aUnderstanding Complex Systems,$x1860-0832 606 $aStatistical physics 606 $aSystem theory 606 $aVibration 606 $aDynamical systems 606 $aDynamics 606 $aBiophysics 606 $aBiological physics 606 $aComputational complexity 606 $aPhysical geography 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aEarth System Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G35000 615 0$aStatistical physics. 615 0$aSystem theory. 615 0$aVibration. 615 0$aDynamical systems. 615 0$aDynamics. 615 0$aBiophysics. 615 0$aBiological physics. 615 0$aComputational complexity. 615 0$aPhysical geography. 615 14$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aSystems Theory, Control. 615 24$aVibration, Dynamical Systems, Control. 615 24$aBiological and Medical Physics, Biophysics. 615 24$aComplexity. 615 24$aEarth System Sciences. 676 $a512.72 702 $aWebber$b Jr., Charles L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMarwan$b Norbert$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300422503321 996 $aRecurrence Quantification Analysis$91772323 997 $aUNINA