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Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications
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Iterative Detection - Adaptivity, Complexity Reduction, and Applications (Hardcover, 2001 ed.)
Loot Price: R1,617
Discovery Miles 16 170
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Iterative Detection - Adaptivity, Complexity Reduction, and Applications (Hardcover, 2001 ed.)
Series: The Springer International Series in Engineering and Computer Science, 602
Expected to ship within 18 - 22 working days
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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.
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. Audience: Iterative
Detection: Adaptivity, Complexity Reduction, and Applications
provides an accessible and detailed reference for researchers,
practicing engineers, and students working in the field of
detection and estimation. It will be of particular interest to
those who would like to learn how iterative detection can be
applied to equalization, interference mitigation, and general
signal processing tasks. Researchers and practicing engineers
interested in learning the turbo decoding algorithm should also
have this book.
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