Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /

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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Main Authors: Chugg, Keith M. author., Anastasopoulos, Achilleas. author., Chen, Xiaopeng. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US : Imprint: Springer, 2001
Subjects:Engineering., Electrical engineering., Electrical Engineering., Signal, Image and Speech Processing.,
Online Access:http://dx.doi.org/10.1007/978-1-4615-1699-6
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collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Engineering.
Electrical engineering.
Engineering.
Electrical Engineering.
Signal, Image and Speech Processing.
Engineering.
Electrical engineering.
Engineering.
Electrical Engineering.
Signal, Image and Speech Processing.
spellingShingle Engineering.
Electrical engineering.
Engineering.
Electrical Engineering.
Signal, Image and Speech Processing.
Engineering.
Electrical engineering.
Engineering.
Electrical Engineering.
Signal, Image and Speech Processing.
Chugg, Keith M. author.
Anastasopoulos, Achilleas. author.
Chen, Xiaopeng. author.
SpringerLink (Online service)
Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
description 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.
format Texto
topic_facet Engineering.
Electrical engineering.
Engineering.
Electrical Engineering.
Signal, Image and Speech Processing.
author Chugg, Keith M. author.
Anastasopoulos, Achilleas. author.
Chen, Xiaopeng. author.
SpringerLink (Online service)
author_facet Chugg, Keith M. author.
Anastasopoulos, Achilleas. author.
Chen, Xiaopeng. author.
SpringerLink (Online service)
author_sort Chugg, Keith M. author.
title Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
title_short Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
title_full Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
title_fullStr Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
title_full_unstemmed Iterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications /
title_sort iterative detection [electronic resource] : adaptivity, complexity reduction, and applications /
publisher Boston, MA : Springer US : Imprint: Springer,
publishDate 2001
url http://dx.doi.org/10.1007/978-1-4615-1699-6
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spelling KOHA-OAI-TEST:1699172018-07-30T22:46:16ZIterative Detection [electronic resource] : Adaptivity, Complexity Reduction, and Applications / Chugg, Keith M. author. Anastasopoulos, Achilleas. author. Chen, Xiaopeng. author. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2001.engIterative 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.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.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.Engineering.Electrical engineering.Engineering.Electrical Engineering.Signal, Image and Speech Processing.Springer eBookshttp://dx.doi.org/10.1007/978-1-4615-1699-6URN:ISBN:9781461516996