Chaotic Signals in Digital Communications

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.

Marcio Eisencraft is an assistant professor at the Federal University of ABC (UFABC). He received B.S., M.S., and Ph.D. degrees in electrical engineering from the University of São Paulo in 1998, 2001, and 2006, respectively. His research interests include digital signal processing, communication systems, neuronal signals and chaos, and nonlinear systems applied to communication systems. Romis Attux is an assistant professor at the University of Campinas (UNICAMP). He received B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Campinas (UNICAMP) in 1999, 2001, and 2005 respectively. His main research interests are information processing, dynamical systems/chaos, and computational intelligence. Ricardo Suyama is an assistant professor at the Federal University of ABC (UFABC). He received B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Campinas in 2001, 2003, and 2007, respectively. His main research interests include unsupervised signal processing, computational intelligence, and applications in communication systems.

Introduction and Main Concepts. Overview of Digital Communications. Overview of Dynamical Systems and Chaos. Basics of Communications Using Chaos. Chaos in Optical Communications. Chaotic Convergence of Unsupervised Equalizers. Matched Filters for Chaotic Signals. Channel Equalization for Chaotic Communications Systems. Chaotic Communications in Bandlimited Channels. Using Coupled Maps to Improve Synchronization Performance. Asymptotically Optimal Estimators for Chaotic Digital Communications. Blind Source Separation in the Context of Deterministic Signals. Evolutionary Chaotic Time Series Denoising. Isochronal Synchronization and Digital Chaos-Based Communication. Cryptography Based on Chaotic and Unsynchronized Elements of a Network. Robustness of Chaos to Multipath Propagation Media.