Iterative Detection: Adaptivity, Complexity Reduction, and Applications is a primary 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:
- Both theoretical background and numerous real-world applications.
- Over 70 detailed examples, 100 problems, 180 illustrations, tables of notation and acronyms, and an extensive bibliography and subject index.
- A whole chapter devoted to a case study on turbo decoder design.
- Receiver design guidelines, rules and suggestions.
- The most advanced view of iterative (turbo) detection based only on block diagrams and standard detection and estimation theory.
- Development of adaptive iterative detection theory.
- Application of adaptive iterative detection to phase and channel tracking in turbo coded systems and systems representative of digital mobile radio designs.
- An entire chapter dedicated to complexity reduction.
- Numerous recent research results.
- Discussion of open problems at the end of each chapter.
|Series:||The Springer International Series in Engineering and Computer Science , #602|
|Edition description:||Softcover reprint of the original 1st ed. 2001|
|Product dimensions:||6.10(w) x 9.25(h) x 0.03(d)|
Table of ContentsPreface. 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.