Intelligent Computing Based on Chaos

1. Front Matter

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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. Ogorzałek

   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

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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.

• Signal
• behavior
• calculus
• chaos
• communication
• computational intelligence
• control
• cryptography
• electronics
• intelligence
• model
• modeling
• neural network
• neural networks
• swarm intelligence

• 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

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