This volume should prove a useful resource for both researchers and teachers in the field of communication. Unlike other books in the area, it presents a general view of iterative detection that does not rely heavily on coding theory or graph theory. The features of the text include a theoretical background and numerous real-world applications, featuring over 70 detailed examples and 100 problems. There is a chapter devoted to a case study on turbo decoder design, receiver design guidelines, rules and suggestions and one dedicated to complexity reduction. The book also includes an advanced view of iterative (turbo) detection based only on block diagrams and standard detection and estimation theory, the development of adaptive iterative detection theory and the application of adaptive iterative detection to phase and channel tracking in turbo coded systems and systems representative of digital mobile radio designs. Also included are numerous recent research results and there is a discussion of open problems at the end of each chapter. Among the applications considered in this book are, joint equalization and decoding, turbo codes, multiuser detection and decoding, broadband wireless channel equalization, and applications to two-dimensional storage and imaging systems.
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Preface. Introduction. 1. Overview of Non-Iterative Detection. 2. Principles of Iterative Detection. 3. Iterative Detection for Complexity Reduction. 4. Adaptive Iterative Detection. 5. Applications in Two Dimensional Systems. 6. Implementation Issues: A Turbo Decoder Design Case Study. References. Index.
Book by Chugg Keith Anastasopoulos Achilleas Chen Xiaopeng
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