Description
Book SynopsisChaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications. The book builds a bridge between theoretical works and practical implementation to help researchers attain consistent performance in realistic environments. It shows the possible shortcomings of the chaos-based communication systems proposed in the literature, particularly when they are subjected to non-ideal conditions. It also presents a toolbox of techniques for researchers working to actually implement such systems.
A Combination of Tutorials and In-Depth, Cutting-Edge Research
Featuring contributions by active leading researchers, the book begins with an introduction to communication theory, dynamical systems, and chaotic communications suitable for those new to the field. This lays a solid foundation for the more applied chapters that follow.
Trade Review"... the book is not only helpful for the uninformed readers in the field, but also helpful for paving the way to full-fledged concepts and techniques in chaos communication at a practical engineering level."
—From the Foreword by Celso Grebogi, University of Aberdeen, UK, and Hai-Peng Ren, Xi’an University of Technology, China
Table of ContentsIntroduction 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.
