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Recurrence Quantification Analysis: Understanding Complex Systems

Editat de Jr. Webber, Norbert Marwan
en Limba Engleză Hardback – 12 aug 2014
The 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.
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Specificații

ISBN-13: 9783319071541
ISBN-10: 3319071548
Pagini: 436
Ilustrații: XIV, 421 p. 210 illus., 107 illus. in color.
Dimensiuni: 160 x 241 x 29 mm
Greutate: 0.82 kg
Ediția:2015
Editura: Springer
Colecția Understanding Complex Systems
Seria Understanding Complex Systems

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Mathematical 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.

Textul de pe ultima copertă

The 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.

Caracteristici

Edited and Authored by leading researchers in the field Introduces and investigates modern applications in detail Addresses an interdisciplinary readership