Source and Channel Coding: An Algorithmic Approach
oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominat...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
1991
|
| Series: | The Springer International Series in Engineering and Computer Science, Communications and Information Theory
150 |
| Subjects: | |
| Online Access: | BTU01 Volltext |
| Summary: | oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs and benefits matter. It is safe to say that most of the recent advances in information theory and coding are in the engineering of coding. These thoughts motivate the present text book: A coded communication book based on methods and algorithms, with information theory in a necessary but supporting role. There has been muchrecent progress in coding, both inthe theory and the practice, and these pages report many new advances. Chapter 2 cov ers traditional source coding, but also the coding ofreal one-dimensional sources like speech and new techniques like vector quantization. Chapter 4 is a unified treatment of trellis codes, beginning with binary convolu tional codes and passing to the new trellis modulation codes |
| Physical Description: | 1 Online-Ressource (XIII, 433 p) |
| ISBN: | 9781461539988 |
| DOI: | 10.1007/978-1-4615-3998-8 |
Staff View
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| indexdate | 2024-07-10T08:10:57Z |
| institution | BVB |
| isbn | 9781461539988 |
| language | English |
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| publishDate | 1991 |
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| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science, Communications and Information Theory |
| spelling | Anderson, John B. Verfasser aut Source and Channel Coding An Algorithmic Approach by John B. Anderson, Seshadri Mohan Boston, MA Springer US 1991 1 Online-Ressource (XIII, 433 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Communications and Information Theory 150 oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs and benefits matter. It is safe to say that most of the recent advances in information theory and coding are in the engineering of coding. These thoughts motivate the present text book: A coded communication book based on methods and algorithms, with information theory in a necessary but supporting role. There has been muchrecent progress in coding, both inthe theory and the practice, and these pages report many new advances. Chapter 2 cov ers traditional source coding, but also the coding ofreal one-dimensional sources like speech and new techniques like vector quantization. Chapter 4 is a unified treatment of trellis codes, beginning with binary convolu tional codes and passing to the new trellis modulation codes Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Quellencodierung (DE-588)4129166-9 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 gnd rswk-swf Kanalcodierung (DE-588)4163183-3 gnd rswk-swf Kanalcodierung (DE-588)4163183-3 s 1\p DE-604 Codierungstheorie (DE-588)4139405-7 s 2\p DE-604 Quellencodierung (DE-588)4129166-9 s 3\p DE-604 Mohan, Seshadri aut Erscheint auch als Druck-Ausgabe 9781461367871 https://doi.org/10.1007/978-1-4615-3998-8 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Anderson, John B. Mohan, Seshadri Source and Channel Coding An Algorithmic Approach Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Quellencodierung (DE-588)4129166-9 gnd Codierungstheorie (DE-588)4139405-7 gnd Kanalcodierung (DE-588)4163183-3 gnd |
| subject_GND | (DE-588)4129166-9 (DE-588)4139405-7 (DE-588)4163183-3 |
| title | Source and Channel Coding An Algorithmic Approach |
| title_auth | Source and Channel Coding An Algorithmic Approach |
| title_exact_search | Source and Channel Coding An Algorithmic Approach |
| title_full | Source and Channel Coding An Algorithmic Approach by John B. Anderson, Seshadri Mohan |
| title_fullStr | Source and Channel Coding An Algorithmic Approach by John B. Anderson, Seshadri Mohan |
| title_full_unstemmed | Source and Channel Coding An Algorithmic Approach by John B. Anderson, Seshadri Mohan |
| title_short | Source and Channel Coding |
| title_sort | source and channel coding an algorithmic approach |
| title_sub | An Algorithmic Approach |
| topic | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Quellencodierung (DE-588)4129166-9 gnd Codierungstheorie (DE-588)4139405-7 gnd Kanalcodierung (DE-588)4163183-3 gnd |
| topic_facet | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Quellencodierung Codierungstheorie Kanalcodierung |
| url | https://doi.org/10.1007/978-1-4615-3998-8 |
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