1.

Record Nr.

UNINA9910300422503321

Titolo

Recurrence Quantification Analysis : Theory and Best Practices / / edited by Charles L. Webber, Jr., Norbert Marwan

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-07155-6

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (XIV, 421 p. 210 illus., 107 illus. in color.)

Collana

Understanding Complex Systems, , 1860-0832

Disciplina

512.72

Soggetti

Statistical physics

System theory

Vibration

Dynamical systems

Dynamics

Biophysics

Biological physics

Computational complexity

Physical geography

Applications of Nonlinear Dynamics and Chaos Theory

Systems Theory, Control

Vibration, Dynamical Systems, Control

Biological and Medical Physics, Biophysics

Complexity

Earth System Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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.

Sommario/riassunto

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.