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Engineering applications of FPGAs = chaotic systems, artificial neural networks, random number generators, and secure communication systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Engineering applications of FPGAs/ by Esteban Tlelo-Cuautle, Jose de Jesus Rangel-Magdaleno, Luis Gerardo de la Fraga.
Reminder of title:	chaotic systems, artificial neural networks, random number generators, and secure communication systems /
Author:	Tlelo-Cuautle, Esteban.
other author:	Rangel-Magdaleno, Jose de Jesus.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvi, 222 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Field programmable gate arrays. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-34115-6
ISBN:	9783319341156

Engineering applications of FPGAs = chaotic systems, artificial neural networks, random number generators, and secure communication systems /
Tlelo-Cuautle, Esteban.

Engineering applications of FPGAschaotic systems, artificial neural networks, random number generators, and secure communication systems /[electronic resource] :by Esteban Tlelo-Cuautle, Jose de Jesus Rangel-Magdaleno, Luis Gerardo de la Fraga. - Cham :Springer International Publishing :2016. - xvi, 222 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783319341156

Standard No.: 10.1007/978-3-319-34115-6doiSubjects--Topical Terms:

564014
Field programmable gate arrays.

LC Class. No.: TK7895.G36

Dewey Class. No.: 621.395

Engineering applications of FPGAs = chaotic systems, artificial neural networks, random number generators, and secure communication systems /
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505 0 $a 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.
520 $a 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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