Turbo Codes: Desirable and Designable
PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signa...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2004
|
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signal to noise ratio trade-off. However, as any information theorist, Shannon told us what is the best we can do but not how to do it [1]. In this view, turbo codes are like a dream come true: they allow approaching the theoretical Shannon capacity limit very closely. However, for the designer who wants to implement these codes, at first sight they appear to be a nightmare. We came a huge step closer in striving the theoretical limit, but see the historical axiom repeated on a different scale: we know we can achieve excellent performance with turbo codes, but not how to realize this in real devices |
| Beschreibung: | 1 Online-Ressource (XII, 150 p) |
| ISBN: | 9781461504771 |
| DOI: | 10.1007/978-1-4615-0477-1 |
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| 520 | |a PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signal to noise ratio trade-off. However, as any information theorist, Shannon told us what is the best we can do but not how to do it [1]. In this view, turbo codes are like a dream come true: they allow approaching the theoretical Shannon capacity limit very closely. However, for the designer who wants to implement these codes, at first sight they appear to be a nightmare. We came a huge step closer in striving the theoretical limit, but see the historical axiom repeated on a different scale: we know we can achieve excellent performance with turbo codes, but not how to realize this in real devices | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Electrical Engineering | |
| 650 | 4 | |a Coding and Information Theory | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Coding theory | |
| 650 | 4 | |a Electrical engineering | |
| 700 | 1 | |a Bougard, Bruno |4 aut | |
| 700 | 1 | |a Perre, Liesbet Van der |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781461350965 |
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Datensatz im Suchindex
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| author | Giulietti, Alexandre Bougard, Bruno Perre, Liesbet Van der |
| author_facet | Giulietti, Alexandre Bougard, Bruno Perre, Liesbet Van der |
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| dewey-full | 621.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3 |
| dewey-search | 621.3 |
| dewey-sort | 3621.3 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-1-4615-0477-1 |
| format | Electronic eBook |
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| id | DE-604.BV045148849 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781461504771 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538548 |
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| publisher | Springer US |
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| spelling | Giulietti, Alexandre Verfasser aut Turbo Codes Desirable and Designable by Alexandre Giulietti, Bruno Bougard, Liesbet Van der Perre Boston, MA Springer US 2004 1 Online-Ressource (XII, 150 p) txt rdacontent c rdamedia cr rdacarrier PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signal to noise ratio trade-off. However, as any information theorist, Shannon told us what is the best we can do but not how to do it [1]. In this view, turbo codes are like a dream come true: they allow approaching the theoretical Shannon capacity limit very closely. However, for the designer who wants to implement these codes, at first sight they appear to be a nightmare. We came a huge step closer in striving the theoretical limit, but see the historical axiom repeated on a different scale: we know we can achieve excellent performance with turbo codes, but not how to realize this in real devices Engineering Electrical Engineering Coding and Information Theory Coding theory Electrical engineering Bougard, Bruno aut Perre, Liesbet Van der aut Erscheint auch als Druck-Ausgabe 9781461350965 https://doi.org/10.1007/978-1-4615-0477-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Giulietti, Alexandre Bougard, Bruno Perre, Liesbet Van der Turbo Codes Desirable and Designable Engineering Electrical Engineering Coding and Information Theory Coding theory Electrical engineering |
| title | Turbo Codes Desirable and Designable |
| title_auth | Turbo Codes Desirable and Designable |
| title_exact_search | Turbo Codes Desirable and Designable |
| title_full | Turbo Codes Desirable and Designable by Alexandre Giulietti, Bruno Bougard, Liesbet Van der Perre |
| title_fullStr | Turbo Codes Desirable and Designable by Alexandre Giulietti, Bruno Bougard, Liesbet Van der Perre |
| title_full_unstemmed | Turbo Codes Desirable and Designable by Alexandre Giulietti, Bruno Bougard, Liesbet Van der Perre |
| title_short | Turbo Codes |
| title_sort | turbo codes desirable and designable |
| title_sub | Desirable and Designable |
| topic | Engineering Electrical Engineering Coding and Information Theory Coding theory Electrical engineering |
| topic_facet | Engineering Electrical Engineering Coding and Information Theory Coding theory Electrical engineering |
| url | https://doi.org/10.1007/978-1-4615-0477-1 |
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