Iterative Detection: 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...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2001
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
602 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (XXVII, 359 p) |
ISBN: | 9781461516996 |
DOI: | 10.1007/978-1-4615-1699-6 |
Internformat
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520 | |a 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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Datensatz im Suchindex
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author | Chugg, Keith M. Anastasopoulos, Achilleas Chen, Xiaopeng |
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dewey-search | 621.3 |
dewey-sort | 3621.3 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4615-1699-6 |
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institution | BVB |
isbn | 9781461516996 |
language | English |
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spelling | Chugg, Keith M. Verfasser aut Iterative Detection Adaptivity, Complexity Reduction, and Applications by Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen Boston, MA Springer US 2001 1 Online-Ressource (XXVII, 359 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 602 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 Signal, Image and Speech Processing Electrical engineering Signaldetektion (DE-588)4181266-9 gnd rswk-swf Iterative Decodierung (DE-588)4486066-3 gnd rswk-swf Iterative Decodierung (DE-588)4486066-3 s Signaldetektion (DE-588)4181266-9 s 1\p DE-604 Anastasopoulos, Achilleas aut Chen, Xiaopeng aut Erscheint auch als Druck-Ausgabe 9781461356844 https://doi.org/10.1007/978-1-4615-1699-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Chugg, Keith M. Anastasopoulos, Achilleas Chen, Xiaopeng Iterative Detection Adaptivity, Complexity Reduction, and Applications Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Signaldetektion (DE-588)4181266-9 gnd Iterative Decodierung (DE-588)4486066-3 gnd |
subject_GND | (DE-588)4181266-9 (DE-588)4486066-3 |
title | Iterative Detection Adaptivity, Complexity Reduction, and Applications |
title_auth | Iterative Detection Adaptivity, Complexity Reduction, and Applications |
title_exact_search | Iterative Detection Adaptivity, Complexity Reduction, and Applications |
title_full | Iterative Detection Adaptivity, Complexity Reduction, and Applications by Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen |
title_fullStr | Iterative Detection Adaptivity, Complexity Reduction, and Applications by Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen |
title_full_unstemmed | Iterative Detection Adaptivity, Complexity Reduction, and Applications by Keith M. Chugg, Achilleas Anastasopoulos, Xiaopeng Chen |
title_short | Iterative Detection |
title_sort | iterative detection adaptivity complexity reduction and applications |
title_sub | Adaptivity, Complexity Reduction, and Applications |
topic | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Signaldetektion (DE-588)4181266-9 gnd Iterative Decodierung (DE-588)4486066-3 gnd |
topic_facet | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Signaldetektion Iterative Decodierung |
url | https://doi.org/10.1007/978-1-4615-1699-6 |
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