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.
Table of Content
Fundamentals of Chaos.- Computational Methods for Rigorous Analysis of Chaotic Systems.- Fundamentals of Fractal Sets, Space-Filling Curves and Their Applications in Electronics and Communications.- Fractal Based Image Indexing and Retrieval.- Fractal Indexing in Multimodal Biometric Contexts.- Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits.- Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter.- Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications.- Chaos and Swarm Intelligence.- A Model of Chaotic Neural Networks and Its Applications to Parallel Distributed Processing.- Synchronization and Control Based Parameter Identification.- Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks.- Complex Behavior of Parallel-Connected DC/DC Converters from Nonlinear Viewpoint.- Chaos-Based Cryptography.- Chaos Based Digital Watermarking.- Image Encryption Using Chaotic Maps.- Chaos Based Generation of True Random Bits.
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