Skip to main content

Analysis of Observed Chaotic Data

  • Textbook
  • © 1996


  • Bestselling title now available as inexpensive softcover * * Provides a toolkit of tried-and-tested methods for analyzing signals from nonlinear sources * Methods are applicable in physics, biology, geophysics, and control and communications engineering *
  • Many illustrative examples

Part of the book series: Institute for Nonlinear Science (INLS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

When I encountered the idea of chaotic behavior in deterministic dynami­ cal systems, it gave me both great pause and great relief. The origin of the great relief was work I had done earlier on renormalization group properties of homogeneous, isotropic fluid turbulence. At the time I worked on that, it was customary to ascribe the apparently stochastic nature of turbulent flows to some kind of stochastic driving of the fluid at large scales. It was simply not imagined that with purely deterministic driving the fluid could be turbulent from its own chaotic motion. I recall a colleague remarking that there was something fundamentally unsettling about requiring a fluid to be driven stochastically to have even the semblance of complex motion in the velocity and pressure fields. I certainly agreed with him, but neither of us were able to provide any other reasonable suggestion for the observed, apparently stochastic motions of the turbulent fluid. So it was with relief that chaos in nonlinear systems, namely, complex evolution, indistinguish­ able from stochastic motions using standard tools such as Fourier analysis, appeared in my bag of physics notions. It enabled me to have a physi­ cally reasonable conceptual framework in which to expect deterministic, yet stochastic looking, motions. The great pause came from not knowing what to make of chaos in non­ linear systems.

Similar content being viewed by others


Table of contents (12 chapters)

Authors and Affiliations

  • Institute for Nonlinear Science, University of California—San Diego, La Jolla, USA

    Henry D. I. Abarbanel

Bibliographic Information

  • Book Title: Analysis of Observed Chaotic Data

  • Authors: Henry D. I. Abarbanel

  • Series Title: Institute for Nonlinear Science

  • DOI:

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1996

  • Hardcover ISBN: 978-0-387-94523-1Published: 29 November 1995

  • Softcover ISBN: 978-0-387-98372-1Published: 07 November 1997

  • eBook ISBN: 978-1-4612-0763-4Published: 06 December 2012

  • Series ISSN: 1431-4673

  • Edition Number: 1

  • Number of Pages: XIV, 272

  • Topics: Physics, general

Publish with us