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Recurrence quantification analysis[electronic resource] :theory and best practices /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	512.7
書名/作者:	Recurrence quantification analysis : theory and best practices // edited by Charles L. Webber, Jr., Norbert Marwan.
其他作者:	Webber, Charles L.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiv, 421 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Recurrent sequences (Mathematics) - Congresses.
標題:	Physics.
標題:	Nonlinear Dynamics.
標題:	Systems Theory, Control.
標題:	Vibration, Dynamical Systems, Control.
標題:	Biophysics and Biological Physics.
標題:	Complexity.
標題:	Earth System Sciences.
ISBN:	9783319071558 (electronic bk.)
ISBN:	9783319071541 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-07155-8

Recurrence quantification analysis[electronic resource] :theory and best practices /
Recurrence quantification analysistheory and best practices /[electronic resource] :edited by Charles L. Webber, Jr., Norbert Marwan. - Cham :Springer International Publishing :2015. - xiv, 421 p. :ill., digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

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.

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.

ISBN: 9783319071558 (electronic bk.)

Standard No.: 10.1007/978-3-319-07155-8doiSubjects--Topical Terms:

590198
Recurrent sequences (Mathematics)
--Congresses.

LC Class. No.: QA246.5

Dewey Class. No.: 512.7

Recurrence quantification analysis[electronic resource] :theory and best practices /
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520 $a 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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