**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

**A primer on information theory, with applications to neuroscience**

by

**Felix Effenberger**-

**arXiv**

This chapter is supposed to give a short introduction to the fundamentals of information theory, especially suited for people having a less firm background in mathematics and probability theory. The focus will be on neuroscientific topics.

(

**9190**views)

**Conditional Rate Distortion Theory**

by

**Robert M. Gray**-

**Information Systems Laboratory**

The conditional rate-distortion function has proved useful in source coding problems involving the possession of side information. This book represents an early work on conditional rate distortion functions and related theory.

(

**9592**views)

**From Classical to Quantum Shannon Theory**

by

**Mark M. Wilde**-

**arXiv**

The aim of this book is to develop 'from the ground up' many of the major developments in quantum Shannon theory. We study quantum mechanics for quantum information theory, we give important unit protocols of teleportation, super-dense coding, etc.

(

**11298**views)

**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.

(

**14109**views)