Modern coding theory:
Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practic...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2008
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| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online: www.cambridge.org/9780521852296 |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xvi, 572 pages) |
| ISBN: | 9780511791338 |
| DOI: | 10.1017/CBO9780511791338 |
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| 505 | 8 | |a Factor graphs -- Binary erasure channel -- Binary memoryless symmetric channels -- General channels -- Turbo codes -- General ensembles -- Expander codes and flipping algorithm -- Encoding low-density parity-check codes -- Effecient implementation of density evolution -- Concentration inequalities -- Formal power sums -- Convexity, degradation, and stability | |
| 520 | |a Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online: www.cambridge.org/9780521852296 | ||
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| contents | Factor graphs -- Binary erasure channel -- Binary memoryless symmetric channels -- General channels -- Turbo codes -- General ensembles -- Expander codes and flipping algorithm -- Encoding low-density parity-check codes -- Effecient implementation of density evolution -- Concentration inequalities -- Formal power sums -- Convexity, degradation, and stability |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| doi_str_mv | 10.1017/CBO9780511791338 |
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| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511791338 |
| language | English |
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| spelling | Richardson, Thomas J. 1961- Verfasser aut Modern coding theory Tom Richardson, Rüdiger Urbanke Cambridge Cambridge University Press 2008 1 online resource (xvi, 572 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Factor graphs -- Binary erasure channel -- Binary memoryless symmetric channels -- General channels -- Turbo codes -- General ensembles -- Expander codes and flipping algorithm -- Encoding low-density parity-check codes -- Effecient implementation of density evolution -- Concentration inequalities -- Formal power sums -- Convexity, degradation, and stability Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online: www.cambridge.org/9780521852296 Coding theory Codierungstheorie (DE-588)4139405-7 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 s 1\p DE-604 Urbanke, Rüdiger Leo 1966- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-85229-6 https://doi.org/10.1017/CBO9780511791338 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Richardson, Thomas J. 1961- Modern coding theory Factor graphs -- Binary erasure channel -- Binary memoryless symmetric channels -- General channels -- Turbo codes -- General ensembles -- Expander codes and flipping algorithm -- Encoding low-density parity-check codes -- Effecient implementation of density evolution -- Concentration inequalities -- Formal power sums -- Convexity, degradation, and stability Coding theory Codierungstheorie (DE-588)4139405-7 gnd |
| subject_GND | (DE-588)4139405-7 |
| title | Modern coding theory |
| title_auth | Modern coding theory |
| title_exact_search | Modern coding theory |
| title_full | Modern coding theory Tom Richardson, Rüdiger Urbanke |
| title_fullStr | Modern coding theory Tom Richardson, Rüdiger Urbanke |
| title_full_unstemmed | Modern coding theory Tom Richardson, Rüdiger Urbanke |
| title_short | Modern coding theory |
| title_sort | modern coding theory |
| topic | Coding theory Codierungstheorie (DE-588)4139405-7 gnd |
| topic_facet | Coding theory Codierungstheorie |
| url | https://doi.org/10.1017/CBO9780511791338 |
| work_keys_str_mv | AT richardsonthomasj moderncodingtheory AT urbankerudigerleo moderncodingtheory |