Studies in Computational Intelligence

By: Ljupco Kocarev (Editor), Zbigniew Galias (Editor), Shiguo Lian (Editor)

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Hardcover | 9 June 2009

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392 Pages

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23.5 x 15.88 x 3.18

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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.

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Fundamentals of Chaos	p. 1
Computational Methods for Rigorous Analysis of Chaotic Systems	p. 25
Fundamentals of Fractal Sets, Space-Filling Curves and Their Applications in Electronics and Communications	p. 53
Fractal Based Image Indexing and Retrieval	p. 73
Fractal Indexing in Multimodal Biometric Contexts	p. 93
Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits	p. 121
Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter	p. 145
Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications	p. 173
Chaos and Swarm Intelligence	p. 197
A Model of Chaotic Neural Networks and Its Applications to Parallel Distributed Processing	p. 213
Synchronization and Control Based Parameter Identification	p. 227
Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks	p. 251
Complex Behavior of Parallel-Connected DC/DC Converters from Nonlinear Viewpoint	p. 269
Chaos-Based Cryptography	p. 291
Chaos Based Digital Watermarking	p. 315
Image Encryption Using Chaotic Maps	p. 333
Chaos Based Generation of True Random Bits	p. 355
Author Index	p. 379
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

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