Skip to main content
SpringerLink
Log in
Book cover

Intelligent Computing Based on Chaos

  • Book
  • © 2009

Overview

Editors:
  1. Ljupco Kocarev

    1. University of California, La Jolla, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Zbigniew Galias

    1. AGH University of Science and Technology , Krakow, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Shiguo Lian

    1. France Telecom R&D Beijing, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents the state of the art in Intelligent Computing Based on Chaos
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 184)

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

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Table of contents (17 chapters)

  1. Front Matter

    Download chapter PDF

  2. Fundamentals of Chaos

    • Warwick Tucker
    Pages 1-23

  3. Computational Methods for Rigorous Analysis of Chaotic Systems

    • Zbigniew Galias
    Pages 25-51

  4. Fundamentals of Fractal Sets, Space-Filling Curves and Their Applications in Electronics and Communications

    • Maciej J. OgorzaÅ‚ek
    Pages 53-72

  5. Fractal Based Image Indexing and Retrieval

    • Maria De Marsico, Riccardo Distasi, Michele Nappi, Daniel Riccio
    Pages 73-92

  6. Fractal Indexing in Multimodal Biometric Contexts

    • Maria De Marsico, Riccardo Distasi, Michele Nappi, Daniel Riccio
    Pages 93-120

  7. Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits

    • Géza Kolumbán, Tamás Krébesz
    Pages 121-143

  8. Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter

    • Fabio Pareschi, Gianluca Setti, Sergio Callegari, Riccardo Rovatti
    Pages 145-171

  9. Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications

    • Fabio Pareschi, Sergio Callegari, Gianluca Setti, Riccardo Rovatti
    Pages 173-196

  10. Chaos and Swarm Intelligence

    • Hongbo Liu, Ajith Abraham
    Pages 197-212

  11. A Model of Chaotic Neural Networks and Its Applications to Parallel Distributed Processing

    • Kazuyuki Aihara
    Pages 213-225

  12. Synchronization and Control Based Parameter Identification

    • Ulrich Parlitz, Dongchuan Yu
    Pages 227-249

  13. Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks

    • Gábor Vattay, Attila Fekete
    Pages 251-268

  14. Complex Behavior of Parallel-Connected DC/DC Converters from Nonlinear Viewpoint

    • Yuehui Huang, Chi K. Tse
    Pages 269-290

  15. Chaos-Based Cryptography

    • José María Amigó
    Pages 291-313

  16. Chaos Based Digital Watermarking

    • Aidan Mooney
    Pages 315-332

  17. Image Encryption Using Chaotic Maps

    • Kwok-Wo Wong
    Pages 333-354

  18. Chaos Based Generation of True Random Bits

    • Tommaso Addabbo, Ada Fort, Santina Rocchi, Valerio Vignoli
    Pages 355-377

  19. Back Matter

    Download chapter PDF
Back to top

Keywords

About this book

Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. Chaotic systems are deterministic with no random elements involved yet their behavior appears to be random. Obser- tions of chaotic behavior in nature include weather and climate, the dynamics of sat- lites in the solar system, the time evolution of the magnetic field of celestial bodies, population growth in ecology, to mention only a few examples. Chaos has been observed in the laboratory in a number of systems such as electrical circuits, lasers, chemical reactions, fluid dynamics, mechanical systems, and magneto-mechanical devices. Chaotic behavior has also found numerous applications in electrical and communication engineering, information and communication technologies, biology and medicine. To the best of our knowledge, this is the first book edited on chaos applications in intelligent computing. To access the latest research related to chaos applications in intelligent computing, we launched the book project where researchers from all over the world provide the necessary coverage of the mentioned field. The primary obj- tive of this project was to assemble as much research coverage as possible related to the field by defining the latest innovative technologies and providing the most c- prehensive list of research references.

Editors and Affiliations

  • University of California, La Jolla, USA

    Ljupco Kocarev

  • AGH University of Science and Technology , Krakow, Poland

    Zbigniew Galias

  • France Telecom R&D Beijing, Beijing, China

    Shiguo Lian

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation