Titlebook: Intelligent Computing Based on Chaos; Ljupco Kocarev,Zbigniew Galias,Shiguo Lian Book 2009 Springer-Verlag Berlin Heidelberg 2009 Signal.b

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Fractal Indexing in Multimodal Biometric Contexts,entation of reliability assessment methods, and the fusion strategy that should be used to integrate the various results into a unified matching score. These issues are discussed in detail, and a fractal based face recognition system is presented: .. An extension of this system is illustrated, by wh

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Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits,arrier. The Fourier analyzer concept introduced provides a mathematical framework for studying the UWB detection problem. The autocorrelation receiver, the most frequently used UWB detector, is discussed in detail and an exact closed-form expression is provided for the prediction of its noise perfor

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Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications,o circuits and systems finally optimised for typical merit indexes of engineering applications. It is shown how the move from initial, mostly speculative designs to a real confrontation with emerging applications marked a key point in the design of “chaos generators”. On one hand it posed precise st

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Chaos and Swarm Intelligence,t the performance of the swarm intelligent model depends on the sign of the maximum Lyapunov exponent. The particle swarm with a high maximum Lyapunov exponent usually achieves better performance, especially for multi-modal functions. The research would be helpful to parameter selection and algorith

visual-cortex

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