Articoli correlati a A First Course in Information Theory
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.
Product Description
Book by Yeung Raymond W
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditorePlenum Pub Corp
- Data di pubblicazione2002
- ISBN 10 0306467917
- ISBN 13 9780306467912
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine412
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A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
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Springer, 2002
ISBN 10: 0306467917
ISBN 13: 9780306467912
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Hardcover. Condizione: Near Fine. 1st Edition. Near Fine clean and unmarked,tight binding. Pale stain on top of page edges. 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 ABE-1712789480673
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