Titlebook: Engineering Applications of FPGAs; Chaotic Systems, Art Esteban Tlelo-Cuautle,Jose Rangel-Magdaleno,Luis G Book 2016 Springer International

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Artificial Neural Networks for Time Series Prediction,deling, simulation, design, and applications. In particular, chaotic time-series prediction is a hot topic that requires the development of electronic solutions. In this manner, a field-programmable gate array (FPGA) is used herein to implement an artificial neural network (ANN) that is used to pred

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Random Number Generators,or generating such pseudorandom binary numbers from the logistic map, Lorenz and Rossler chaotic systems, Chua and chaotic oscillator based on saturated function series. A form to measure if a sequence of binary numbers is random is by its entropy. Therefore, this chapter also describes how to take

PIZZA

Secure Communication System,om that time, several synchronization schemes have been proposed to implement chaotic secure communication systems, whose main advantage over conventional cryptosystems is that they can be realized as very simple circuits (C.P. Silva, Nonlinear Dyn. 2011 [78]). In this chapter, chaotic systems are i

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https://doi.org/10.1007/978-3-319-34115-6Chaos Using FPGAs; Embedded Systems Design with FPGAs; Engineering Applications of FPGAs; FPGAs; Reconfi

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,Untersuchung mit R?ntgenstrahlen,In this chapter some examples of co-simulation between: Active-HDL/Matlab-Simulink, Xilinx System Generator/Matlab-Simulink, and Altera DSP Builder/Matlab-Simulink are presented. Co-simulation with Matlab-Simulink is a powerful tool to reduce overall simulation time.

Fortuitous

Verdauungs- und Unterleibsorgane,FPGAs are being used in a wide range of engineering applications. Many challenges arise, like guaranteeing minimal rounding error, maximum frequency of operation, and reduction on the hardware resources. This Chapter discusses several issues that may be considered as future research.