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Beschreibung
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.
Details
| Verlag | Springer US |
| Ersterscheinung | 30. Oktober 2012 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 663 Gramm |
| Format | Softcover |
| ISBN-13 | 9781461346456 |
| Seiten | 412 |
Schlagwörter
Discrete Mathematics in Computer Science, Diskrete Mathematik, Electrical and Electronic Engineering, Elektrotechnik, Group Theory and Generalizations, Gruppen und Gruppentheorie, Ingenieurswesen - Maschinenbau allgemein, Kybernetik und Systemtheorie, Mathematik für Informatiker, Probability Theory, Stochastik, Systems Theory - Control, Technology and Engineering, Wahrscheinlichkeitsrechnung und Statistik
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