Information Theory and Network Coding Tapa dura - 2008 - 2008th Edición
de Raymond W. Yeung
Descripción de contraportada
Information Theory and Network Coding consists of two parts: Components of Information Theory, and Fundamentals of Network Coding Theory. Part I is a rigorous treatment of information theory for discrete and continuous systems. In addition to the classical topics, there are such modern topics as the I-Measure, Shannon-type and non-Shannon-type information inequalities, and a fundamental relation between entropy and group theory. With information theory as the foundation, Part II is a comprehensive treatment of network coding theory with detailed discussions on linear network codes, convolutional network codes, and multi-source network coding.
Other important features include:
- Derivations that are from the first principle
- A large number of examples throughout the book
- Many original exercise problems
- Easy-to-use chapter summaries
- Two parts that can be used separately or together for a comprehensive course
Information Theory and Network Coding is for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics. This work can also be used as a reference for professional engineers in the area of communications.
Detalles
- Título Information Theory and Network Coding
- Autor Raymond W. Yeung
- Encuadernación Tapa dura
- Número de edición 2008th
- Edición 2008
- Páginas 580
- Volúmenes 1
- Idioma ENG
- Editorial Springer
- Fecha de publicación 2008-09-10
- Ilustrado Sí
- Features Illustrated
- ISBN 9780387792330 / 0387792333
- Peso 2.24 libras (1.02 kg)
- Dimensiones 9.21 x 6.14 x 1.31 pulgadas (23.39 x 15.60 x 3.33 cm)
- Dewey Decimal Code 003.54
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