**Network Coding Theory**

by Raymond Yeung, S-Y Li, N Cai

**Publisher**: Now Publishers Inc 2006**ISBN/ASIN**: 1933019247**ISBN-13**: 9781933019246**Number of pages**: 154

**Description**:

The present text aims to be a tutorial on the basics of the theory of network coding. The intent is a transparent presentation without necessarily presenting all results in their full generality. Part I is devoted to network coding for the transmission from a single source node to other nodes in the network. It starts with describing examples on network coding in the next section. Part II deals with the problem under the more general circumstances when there are multiple source nodes each intending to transmit to a different set of destination nodes.

Download or read it online for free here:

**Download link**

(1.3MB, PDF)

## Similar books

**Information Theory, Excess Entropy and Statistical Complexity**

by

**David Feldman**-

**College of the Atlantic**

This e-book is a brief tutorial on information theory, excess entropy and statistical complexity. From the table of contents: Background in Information Theory; Entropy Density and Excess Entropy; Computational Mechanics.

(

**7046**views)

**Data Compression Explained**

by

**Matt Mahoney**-

**mattmahoney.net**

This book is for the reader who wants to understand how data compression works, or who wants to write data compression software. Prior programming ability and some math skills will be needed. This book is intended to be self contained.

(

**4549**views)

**A Short Course in Information Theory**

by

**David J. C. MacKay**-

**University of Cambridge**

This text discusses the theorems of Claude Shannon, starting from the source coding theorem, and culminating in the noisy channel coding theorem. Along the way we will study simple examples of codes for data compression and error correction.

(

**7266**views)

**Error-Correction Coding and Decoding**

by

**Martin Tomlinson, et al.**-

**Springer**

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies.

(

**485**views)