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Engineering Applications of FPGAs : Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems / by Esteban Tlelo-Cuautle, Jose Rangel-Magdaleno, Luis Gerardo de la Fraga

By: Tlelo-Cuautle, Esteban
Contributor(s): SpringerLink (Online service) | Rangel-Magdaleno, Jose. | Fraga, Luis Gerardo de la
Material type: materialTypeLabelE-bookPublisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XVI, 222 páginas) : 204 ilustraciones, 130 ilustraciones en color.ISBN: 9783319341156.Subject: Microprocesadores | ElectrónicaDDC classification: 621.3815 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction to field programmable gate arrays -- VHDL -- Matlab-Simulink Co-simulation -- Chaos generators -- Artificial neural networks for time series prediction -- Random number generators -- Secure communication system -- Challenges in engineering applications.
Abstract: This book offers readers a clear guide to implementing engineering applications with FPGAs, from the mathematical description to the hardware synthesis, including discussion of VHDL programming and co-simulation issues. Coverage includes FPGA realizations such as: chaos generators that are described from their mathematical models; artificial neural networks (ANNs) to predict chaotic time series, for which a discussion of different ANN topologies is included, with different learning techniques and activation functions; random number generators (RNGs) that are realized using different chaos generators, and discussions of their maximum Lyapunov exponent values and entropies. Finally, optimized chaotic oscillators are synchronized and realized to implement a secure communication system that processes black and white and grey-scale images. In each application, readers will find VHDL programming guidelines and computer arithmetic issues, along with co-simulation examples with Active-HDL and Simulink. Readers will benefit from this practical guide to implementing a variety of engineering applications from VHDL programming and co-simulation issues, to FPGA realizations of chaos generators, ANNs for chaotic time-series prediction, RNGs and chaotic secure communications for image transmission.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK7895.G36 T545 2016 EB (Browse shelf(Opens below)) .i11595978 Acceso electrónico eBOOK .i11595978
Total holds: 0

Introduction to field programmable gate arrays -- VHDL -- Matlab-Simulink Co-simulation -- Chaos generators -- Artificial neural networks for time series prediction -- Random number generators -- Secure communication system -- Challenges in engineering applications.

This book offers readers a clear guide to implementing engineering applications with FPGAs, from the mathematical description to the hardware synthesis, including discussion of VHDL programming and co-simulation issues. Coverage includes FPGA realizations such as: chaos generators that are described from their mathematical models; artificial neural networks (ANNs) to predict chaotic time series, for which a discussion of different ANN topologies is included, with different learning techniques and activation functions; random number generators (RNGs) that are realized using different chaos generators, and discussions of their maximum Lyapunov exponent values and entropies. Finally, optimized chaotic oscillators are synchronized and realized to implement a secure communication system that processes black and white and grey-scale images. In each application, readers will find VHDL programming guidelines and computer arithmetic issues, along with co-simulation examples with Active-HDL and Simulink. Readers will benefit from this practical guide to implementing a variety of engineering applications from VHDL programming and co-simulation issues, to FPGA realizations of chaos generators, ANNs for chaotic time-series prediction, RNGs and chaotic secure communications for image transmission.

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