A student's guide to coding and information theory:
This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school ma...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2012
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xiii, 191 pages) |
ISBN: | 9781139059534 |
DOI: | 10.1017/CBO9781139059534 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Moser, Stefan M. |
author_facet | Moser, Stefan M. |
author_role | aut |
author_sort | Moser, Stefan M. |
author_variant | s m m sm smm |
building | Verbundindex |
bvnumber | BV043942709 |
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dewey-full | 003.54 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 003 - Systems |
dewey-raw | 003.54 |
dewey-search | 003.54 |
dewey-sort | 13.54 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1017/CBO9781139059534 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:18Z |
institution | BVB |
isbn | 9781139059534 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029351679 |
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spelling | Moser, Stefan M. Verfasser aut A student's guide to coding and information theory Stefan M. Moser, Po-Ning Chen A Student's Guide to Coding & Information Theory Cambridge Cambridge University Press 2012 1 online resource (xiii, 191 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject Coding theory Information theory Codierungstheorie (DE-588)4139405-7 gnd rswk-swf Informationstheorie (DE-588)4026927-9 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 s 1\p DE-604 Informationstheorie (DE-588)4026927-9 s 2\p DE-604 Chen, Po-Ning Sonstige oth Erscheint auch als Druckausgabe 978-1-107-01583-8 Erscheint auch als Druckausgabe 978-1-107-60196-3 https://doi.org/10.1017/CBO9781139059534 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Moser, Stefan M. A student's guide to coding and information theory Coding theory Information theory Codierungstheorie (DE-588)4139405-7 gnd Informationstheorie (DE-588)4026927-9 gnd |
subject_GND | (DE-588)4139405-7 (DE-588)4026927-9 |
title | A student's guide to coding and information theory |
title_alt | A Student's Guide to Coding & Information Theory |
title_auth | A student's guide to coding and information theory |
title_exact_search | A student's guide to coding and information theory |
title_full | A student's guide to coding and information theory Stefan M. Moser, Po-Ning Chen |
title_fullStr | A student's guide to coding and information theory Stefan M. Moser, Po-Ning Chen |
title_full_unstemmed | A student's guide to coding and information theory Stefan M. Moser, Po-Ning Chen |
title_short | A student's guide to coding and information theory |
title_sort | a student s guide to coding and information theory |
topic | Coding theory Information theory Codierungstheorie (DE-588)4139405-7 gnd Informationstheorie (DE-588)4026927-9 gnd |
topic_facet | Coding theory Information theory Codierungstheorie Informationstheorie |
url | https://doi.org/10.1017/CBO9781139059534 |
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