Iterative Detection: Adaptivity, Complexity Reduction, and Applications: 602 (The Springer International Series in Engineering and Computer Science) - Softcover

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.