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Researchers have proposed many promising chaos-based applications in communications. Although these schemes work well in almost ideal environments, the presence of additive noise, distortion, or delay usually found in realistic environments brings unsatisfactory bit error rates when compared to conventional communication systems. Bridging theory and practice, this book presents a toolbox of techniques for researchers working to implement chaos-based communications systems. It also explores applications in areas as diverse as optical communications, channel equalization, noise/spectral distortion mitigation, synchronization, statistical estimation, cryptography, and wireless systems.
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