Information theory :: coding theorems for discrete memoryless systems /
Fully updated and revised edition of Csiszár and Körner's classic book on information theory.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2011.
|
| Ausgabe: | 2nd ed. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Fully updated and revised edition of Csiszár and Körner's classic book on information theory. |
| Beschreibung: | 1 online resource (xxi, 499 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 461-477) and indexes. |
| ISBN: | 9781139190145 1139190148 1139185241 9781139185240 9780511921889 0511921888 9781139187558 1139187554 1139929801 9781139929806 1107214777 9781107214774 1139180355 9781139180351 1283378361 9781283378369 9786613378361 6613378364 1139188836 9781139188838 1139182927 9781139182928 9781107565043 1107565049 |
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| 245 | 1 | 0 | |a Information theory : |b coding theorems for discrete memoryless systems / |c Imre Csiszár, János Körner. |
| 250 | |a 2nd ed. | ||
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2011. | ||
| 300 | |a 1 online resource (xxi, 499 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 504 | |a Includes bibliographical references (pages 461-477) and indexes. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Information Theory; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Basic notation and conventions; Preliminaries on random variables and probability distributions; Introduction; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; Part I Information measures in simple coding problems; 1 Source coding and hypothesis testing; information measures; Discussion; Problems; Postulational characterizations of entropy (Problems 1.11-1.14); Story of the results. | |
| 505 | 8 | |a 2 Types and typical sequencesDiscussion; Problems; Story of the results; 3 Formal properties of Shannon's information measures; Problems; Properties of informational divergence (Problems 3.17-3.20); Structural results on entropy (Problems 3.21-3.22); Story of the results; 4 Non-block source coding; Problems; General noiseless channels (Problems 4.20-4.22); Universal variable-length codes (Problems 4.23-4.26); Story of the results; 5 Blowing up lemma: a combinatorial digression; Problems; Story of the results; Part II Two-terminal systems; 6 The noisy channel coding problem; Discussion. | |
| 505 | 8 | |a ProblemsComparison of channels (Problems 6.16-6.18); Zero-error capacity and graphs (Problems 6.23-6.25); Story of the results; 7 Rate-distortion trade-off in source coding and the source-channel transmission problem; Discussion; Problems; Story of the results; 8 Computation of channel capacity and?-distortion rates; Problems; Story of the results; 9 A covering lemma and the error exponent in source coding; Problems; Graph entropy and convex corners; Story of the results; 10 A packing lemma and the error exponent in channel coding; Discussion; Problems; Compound DMCs (Problems 10.12-10.14). | |
| 505 | 8 | |a Reliability at R = 0 (Problems 10.20-10.23)Story of the results; 11 The compound channel revisited: zero-error information theory and extremal combinatorics; Discussion; Problems; Story of the results; 12 Arbitrarily varying channels; Discussion; Problems; Story of the results; Part III Multi-terminal systems; 13 Separate coding of correlated sources; Discussion; Problems; Story of the results; 14 Multiple-access channels; Discussion; Problems; Reduction of channel network problems (Problems 14.22-14.24); Story of the results; 15 Entropy and image size characterization; Discussion; Problems. | |
| 505 | 8 | |a Image size of arbitrary sets (Problems 15.4-15.5)More-than-three-component sources (Problems 15.16-15.21); Story of the results; 16 Source and channel networks; Discussion; Problems; Broadcast channels (Problems 16.8-16.12); Source networks with three inputs and one helper (Problems 16.13-16.18); Source networks with two helpers; General fidelity criteria (Problems 16.22-16.24); Common information (Problems 16.27-16.30); Miscellaneous source networks (Problems 16.31-16.33); Story of the results; 17 Information-theoretic security; 17.1 Basic concepts and tools. | |
| 520 | |a Fully updated and revised edition of Csiszár and Körner's classic book on information theory. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Coding theory. |0 http://id.loc.gov/authorities/subjects/sh85027654 | |
| 650 | 7 | |a MATHEMATICS |x Numerical Analysis. |2 bisacsh | |
| 650 | 7 | |a Análisis numérico |2 embne | |
| 650 | 0 | 7 | |a Codificación, Teoría de |2 embucm |
| 650 | 7 | |a Coding theory |2 fast | |
| 655 | 7 | |a Textbooks |2 fast | |
| 700 | 1 | |a Körner, János. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn773040613 |
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| _version_ | 1816881783471341568 |
| adam_text | |
| any_adam_object | |
| author | Csiszár, Imre, 1938- |
| author2 | Körner, János |
| author2_role | |
| author2_variant | j k jk |
| author_GND | http://id.loc.gov/authorities/names/n97046827 |
| author_facet | Csiszár, Imre, 1938- Körner, János |
| author_role | |
| author_sort | Csiszár, Imre, 1938- |
| author_variant | i c ic |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA268 |
| callnumber-raw | QA268 .C79 2011eb |
| callnumber-search | QA268 .C79 2011eb |
| callnumber-sort | QA 3268 C79 42011EB |
| callnumber-subject | QA - Mathematics |
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| contents | Cover; Information Theory; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Basic notation and conventions; Preliminaries on random variables and probability distributions; Introduction; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; Part I Information measures in simple coding problems; 1 Source coding and hypothesis testing; information measures; Discussion; Problems; Postulational characterizations of entropy (Problems 1.11-1.14); Story of the results. 2 Types and typical sequencesDiscussion; Problems; Story of the results; 3 Formal properties of Shannon's information measures; Problems; Properties of informational divergence (Problems 3.17-3.20); Structural results on entropy (Problems 3.21-3.22); Story of the results; 4 Non-block source coding; Problems; General noiseless channels (Problems 4.20-4.22); Universal variable-length codes (Problems 4.23-4.26); Story of the results; 5 Blowing up lemma: a combinatorial digression; Problems; Story of the results; Part II Two-terminal systems; 6 The noisy channel coding problem; Discussion. ProblemsComparison of channels (Problems 6.16-6.18); Zero-error capacity and graphs (Problems 6.23-6.25); Story of the results; 7 Rate-distortion trade-off in source coding and the source-channel transmission problem; Discussion; Problems; Story of the results; 8 Computation of channel capacity and?-distortion rates; Problems; Story of the results; 9 A covering lemma and the error exponent in source coding; Problems; Graph entropy and convex corners; Story of the results; 10 A packing lemma and the error exponent in channel coding; Discussion; Problems; Compound DMCs (Problems 10.12-10.14). Reliability at R = 0 (Problems 10.20-10.23)Story of the results; 11 The compound channel revisited: zero-error information theory and extremal combinatorics; Discussion; Problems; Story of the results; 12 Arbitrarily varying channels; Discussion; Problems; Story of the results; Part III Multi-terminal systems; 13 Separate coding of correlated sources; Discussion; Problems; Story of the results; 14 Multiple-access channels; Discussion; Problems; Reduction of channel network problems (Problems 14.22-14.24); Story of the results; 15 Entropy and image size characterization; Discussion; Problems. Image size of arbitrary sets (Problems 15.4-15.5)More-than-three-component sources (Problems 15.16-15.21); Story of the results; 16 Source and channel networks; Discussion; Problems; Broadcast channels (Problems 16.8-16.12); Source networks with three inputs and one helper (Problems 16.13-16.18); Source networks with two helpers; General fidelity criteria (Problems 16.22-16.24); Common information (Problems 16.27-16.30); Miscellaneous source networks (Problems 16.31-16.33); Story of the results; 17 Information-theoretic security; 17.1 Basic concepts and tools. |
| ctrlnum | (OCoLC)773040613 |
| dewey-full | 518 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 518 - Numerical analysis |
| dewey-raw | 518 |
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| discipline | Mathematik |
| edition | 2nd ed. |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:18:12Z |
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| isbn | 9781139190145 1139190148 1139185241 9781139185240 9780511921889 0511921888 9781139187558 1139187554 1139929801 9781139929806 1107214777 9781107214774 1139180355 9781139180351 1283378361 9781283378369 9786613378361 6613378364 1139188836 9781139188838 1139182927 9781139182928 9781107565043 1107565049 |
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| spelling | Csiszár, Imre, 1938- https://id.oclc.org/worldcat/entity/E39PBJf4gVCP6kGwFb39689CcP http://id.loc.gov/authorities/names/n97046827 Information theory : coding theorems for discrete memoryless systems / Imre Csiszár, János Körner. 2nd ed. Cambridge ; New York : Cambridge University Press, 2011. 1 online resource (xxi, 499 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references (pages 461-477) and indexes. Print version record. Cover; Information Theory; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Basic notation and conventions; Preliminaries on random variables and probability distributions; Introduction; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; Part I Information measures in simple coding problems; 1 Source coding and hypothesis testing; information measures; Discussion; Problems; Postulational characterizations of entropy (Problems 1.11-1.14); Story of the results. 2 Types and typical sequencesDiscussion; Problems; Story of the results; 3 Formal properties of Shannon's information measures; Problems; Properties of informational divergence (Problems 3.17-3.20); Structural results on entropy (Problems 3.21-3.22); Story of the results; 4 Non-block source coding; Problems; General noiseless channels (Problems 4.20-4.22); Universal variable-length codes (Problems 4.23-4.26); Story of the results; 5 Blowing up lemma: a combinatorial digression; Problems; Story of the results; Part II Two-terminal systems; 6 The noisy channel coding problem; Discussion. ProblemsComparison of channels (Problems 6.16-6.18); Zero-error capacity and graphs (Problems 6.23-6.25); Story of the results; 7 Rate-distortion trade-off in source coding and the source-channel transmission problem; Discussion; Problems; Story of the results; 8 Computation of channel capacity and?-distortion rates; Problems; Story of the results; 9 A covering lemma and the error exponent in source coding; Problems; Graph entropy and convex corners; Story of the results; 10 A packing lemma and the error exponent in channel coding; Discussion; Problems; Compound DMCs (Problems 10.12-10.14). Reliability at R = 0 (Problems 10.20-10.23)Story of the results; 11 The compound channel revisited: zero-error information theory and extremal combinatorics; Discussion; Problems; Story of the results; 12 Arbitrarily varying channels; Discussion; Problems; Story of the results; Part III Multi-terminal systems; 13 Separate coding of correlated sources; Discussion; Problems; Story of the results; 14 Multiple-access channels; Discussion; Problems; Reduction of channel network problems (Problems 14.22-14.24); Story of the results; 15 Entropy and image size characterization; Discussion; Problems. Image size of arbitrary sets (Problems 15.4-15.5)More-than-three-component sources (Problems 15.16-15.21); Story of the results; 16 Source and channel networks; Discussion; Problems; Broadcast channels (Problems 16.8-16.12); Source networks with three inputs and one helper (Problems 16.13-16.18); Source networks with two helpers; General fidelity criteria (Problems 16.22-16.24); Common information (Problems 16.27-16.30); Miscellaneous source networks (Problems 16.31-16.33); Story of the results; 17 Information-theoretic security; 17.1 Basic concepts and tools. Fully updated and revised edition of Csiszár and Körner's classic book on information theory. English. Coding theory. http://id.loc.gov/authorities/subjects/sh85027654 MATHEMATICS Numerical Analysis. bisacsh Análisis numérico embne Codificación, Teoría de embucm Coding theory fast Textbooks fast Körner, János. Print version: Csiszár, Imre, 1938- Information theory. 2nd ed. Cambridge ; New York : Cambridge University Press, 2011 9780521196819 (DLC) 2011293266 (OCoLC)668195770 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=409029 Volltext |
| spellingShingle | Csiszár, Imre, 1938- Information theory : coding theorems for discrete memoryless systems / Cover; Information Theory; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Basic notation and conventions; Preliminaries on random variables and probability distributions; Introduction; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; Part I Information measures in simple coding problems; 1 Source coding and hypothesis testing; information measures; Discussion; Problems; Postulational characterizations of entropy (Problems 1.11-1.14); Story of the results. 2 Types and typical sequencesDiscussion; Problems; Story of the results; 3 Formal properties of Shannon's information measures; Problems; Properties of informational divergence (Problems 3.17-3.20); Structural results on entropy (Problems 3.21-3.22); Story of the results; 4 Non-block source coding; Problems; General noiseless channels (Problems 4.20-4.22); Universal variable-length codes (Problems 4.23-4.26); Story of the results; 5 Blowing up lemma: a combinatorial digression; Problems; Story of the results; Part II Two-terminal systems; 6 The noisy channel coding problem; Discussion. ProblemsComparison of channels (Problems 6.16-6.18); Zero-error capacity and graphs (Problems 6.23-6.25); Story of the results; 7 Rate-distortion trade-off in source coding and the source-channel transmission problem; Discussion; Problems; Story of the results; 8 Computation of channel capacity and?-distortion rates; Problems; Story of the results; 9 A covering lemma and the error exponent in source coding; Problems; Graph entropy and convex corners; Story of the results; 10 A packing lemma and the error exponent in channel coding; Discussion; Problems; Compound DMCs (Problems 10.12-10.14). Reliability at R = 0 (Problems 10.20-10.23)Story of the results; 11 The compound channel revisited: zero-error information theory and extremal combinatorics; Discussion; Problems; Story of the results; 12 Arbitrarily varying channels; Discussion; Problems; Story of the results; Part III Multi-terminal systems; 13 Separate coding of correlated sources; Discussion; Problems; Story of the results; 14 Multiple-access channels; Discussion; Problems; Reduction of channel network problems (Problems 14.22-14.24); Story of the results; 15 Entropy and image size characterization; Discussion; Problems. Image size of arbitrary sets (Problems 15.4-15.5)More-than-three-component sources (Problems 15.16-15.21); Story of the results; 16 Source and channel networks; Discussion; Problems; Broadcast channels (Problems 16.8-16.12); Source networks with three inputs and one helper (Problems 16.13-16.18); Source networks with two helpers; General fidelity criteria (Problems 16.22-16.24); Common information (Problems 16.27-16.30); Miscellaneous source networks (Problems 16.31-16.33); Story of the results; 17 Information-theoretic security; 17.1 Basic concepts and tools. Coding theory. http://id.loc.gov/authorities/subjects/sh85027654 MATHEMATICS Numerical Analysis. bisacsh Análisis numérico embne Codificación, Teoría de embucm Coding theory fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85027654 |
| title | Information theory : coding theorems for discrete memoryless systems / |
| title_auth | Information theory : coding theorems for discrete memoryless systems / |
| title_exact_search | Information theory : coding theorems for discrete memoryless systems / |
| title_full | Information theory : coding theorems for discrete memoryless systems / Imre Csiszár, János Körner. |
| title_fullStr | Information theory : coding theorems for discrete memoryless systems / Imre Csiszár, János Körner. |
| title_full_unstemmed | Information theory : coding theorems for discrete memoryless systems / Imre Csiszár, János Körner. |
| title_short | Information theory : |
| title_sort | information theory coding theorems for discrete memoryless systems |
| title_sub | coding theorems for discrete memoryless systems / |
| topic | Coding theory. http://id.loc.gov/authorities/subjects/sh85027654 MATHEMATICS Numerical Analysis. bisacsh Análisis numérico embne Codificación, Teoría de embucm Coding theory fast |
| topic_facet | Coding theory. MATHEMATICS Numerical Analysis. Análisis numérico Codificación, Teoría de Coding theory Textbooks |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=409029 |
| work_keys_str_mv | AT csiszarimre informationtheorycodingtheoremsfordiscretememorylesssystems AT kornerjanos informationtheorycodingtheoremsfordiscretememorylesssystems |