Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. This book provides access to the latest research related to chaos applications in intelligent computing.
Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. This book provides access to the latest research related to chaos applications in intelligent computing.
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.
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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