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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 cosimulation 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 greyscale images. In each application, readers will find VHDL programming guidelines and computer arithmetic issues, along with cosimulation examples with ActiveHDL and Simulink.The whole book provides a practical guide to implementing a variety of engineering applications from VHDL programming and cosimulation issues, to FPGA realizations of chaos generators, ANNs for chaotic timeseries prediction, RNGs and chaotic secure communications for image transmission.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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