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

Charade

Fractal Based Image Indexing and Retrieval,f the redundancy. Therefore, a similar theoretical apparatus can be used to design a system that extracts information suitable for content based image indexing. After introducing the basics of partitioned iterated function systems as used in image processing, the structure of a fractal based image i

勉强

Fractal Indexing in Multimodal Biometric Contexts,able techniques such as some face recognition methods. A possible way to improve reliability without losing much on the side of efficiency involves multimodal systems, whose modules process more than one biometric feature. The theory of fractals, having proved itself suitable for effective image ind

antecedence

Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits,and property of chaotic carriers is beneficial in indoor and mobile applications where multipath propagation limits the attainable bit error rate. Another possible application is the ultra-wideband (UWB) radio, where the spectrum of transmitted signal covers an ultra-wide frequency band (a few GHz)

被告

Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter,ce (EMI) due to timing signals, such as the clock signals widely employed in digital circuits. In fact, due to their periodic nature and to the presence of sharp edges, the power of such signals is concentrated at those frequencies corresponding to the multiples of the timing signal period. This can

修饰

Obedient

Chaos and Swarm Intelligence,locally with their environment causing coherent functional global patterns to emerge. The intelligence emerges from a chaotic balance between individuality and sociality. The chaotic balances are a characteristic feature of the complex system. This chapter investigates the chaotic dynamic characteri

东西

低能儿

Synchronization and Control Based Parameter Identification,meter values have to be estimated from the data. Furthermore, in general not all state variables of the dynamical system of interest are available, but a scalar time series has been measured, only. And, last not least, the data are discretely sampled in time and often perturbed by noise. How can unk

乐章

Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks,h or file size distributions, the sources which create self similarity in the network are certain buffers which are either too short or shared by too many TCP sessions. We analyse how congestion and long-range dependent traffic is generated in such a buffer shared by parallel TCP flows. We find that

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