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Sinossi
This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
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Contenuti
1. The Science of Information.- 2. Information Measures.- 3. Zero-Error Data Compression.- 4. Weak Typicality.- 5. Strong Typicality.- 6. The I-Measure.- 7. Markov Structures.- 8. Channel Capacity.- 9. Rate Distortion Theory.- 10. The Blahut-Arimoto Algorithms.- 11. Single-Source Network Coding.- 12. Information Inequalities.- 13. Shannon-Type Inequalities.- Appendix 13A: The Basic Inequalities and the Polymatroidal Axioms.- 14. Beyond Shannon-Type Inequalities.- 15. Multi-Source Network Coding.- Appendix 15A: Approximation of Random Variables with Infinite Alphabets.- 16. Entropy and Groups.- Bibliography.- Index.
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A First Course in Information Theory
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields. 440 pp. Englisch. Codice articolo 9781461346456
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A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
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Paperback. Condizione: new. Paperback. A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields. A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781461346456
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an up-to-date introduction to information theoryProvides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and. Codice articolo 4192896
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. Codice articolo 9781461346456
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields. Codice articolo 9781461346456
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