1 edition of **Information Theory and Network Coding** found in the catalog.

Information Theory and Network Coding

Raymond W. Yeung

- 323 Want to read
- 1 Currently reading

Published
**2008** by Springer Science+Business Media, LLC in Boston, MA .

Written in English

- Distribution (Probability theory),
- Engineering,
- Data structures (Computer science),
- Telecommunication

**Edition Notes**

Statement | by Raymond W. Yeung ; edited by Robert Gallager, Jack Keil Wolf |

Series | Information Technology Transmission Processing and Storage |

Contributions | Gallager, Robert G., Wolf, Jack Keil, SpringerLink (Online service) |

The Physical Object | |
---|---|

Format | [electronic resource] / |

ID Numbers | |

Open Library | OL25560231M |

ISBN 10 | 9780387792330, 9780387792347 |

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Information Theory and Network Coding consists of two Information Theory and Network Coding book Components of Information Theory, and Fundamentals Information Theory and Network Coding book 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. mation theory, but also have applications in network coding theory, probabil-ity theory, group theory, Kolmogorov complexity, and possibly physics.

This book is an up-to-date treatment of information theory for discrete random variables, which forms the foundation of the theory at large.

There are eight. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking/5(7).

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 Information Theory and Network Coding book fundamental Cited by: Learn Information Theory from The Chinese University of Hong Kong.

The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer ). This book and its /5(6). The brief reviews below are from the "Further Reading" section of this book: "Information Theory: A Tutorial Introduction", by (me) JV Stone, published February Book's web page: Page on -- Applebaum D () 1.

Probability and In. Information Theory and Network Coding Information Theory and Network Coding book intended for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics.

The book can also be used as a reference for professional engineers in the area of communications. ( views) Lecture Notes on Network Information Theory by Abbas El Gamal, Young-Han Kim - arXiv, Network information theory deals with the fundamental limits on information flow in networks and optimal coding and protocols.

These notes provide a broad coverage of key results, techniques, and open problems in network information theory. Network coding is a field of information Information Theory and Network Coding book coding theory and is a method of attaining maximum information flow in a network.

This book is an ideal introduction for the communications and network engineer, working in research and development, who needs an intuitive introduction to network coding and to the increased performance and reliability.

The lectures are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer ). This book and its predecessor, A First Course in Information Theory (Kluweressentially the first edition of the book), have been adopted by over 80 universities around the world.

The. in information theory. The main reason why Information Theory and Network Coding book book is in the present form is because in my opinion, the discussion of network coding in Part II is in-complete without Part I. Nevertheless, except for Chapter 21 on multi-source network coding, Part II by itself may be used satisfactorily as a.

Information Theory and Network Coding book book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon’s mathematical theory of communication, but much of the space is File Size: 1MB.

Get this from a library. Information theory and network coding. [Raymond W Yeung] -- This text contains a discussion of the classical topics in information theory together with a comprehensive treatment of network coding, a subject first emerged under information theory that has now.

This book contains a thorough discussion of the classical topics in information theory together with the first comprehensive treatment of network coding, a subject first emerged under information theory in the mid 's that has now diffused into coding theory, computer networks, wireless communications, complexity theory, cryptography, graph theory, etc.

This book is an evolution from my book A First Course in Information Theory published in when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research?eld of its own in information science/5.

The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer ). This book and its predecessor, A First Course in Information Theory (Kluweressentially the first edition of the book), have been adopted by over 60 universities around the world as either a textbook or reference text.

Annotation This book contains a thorough discussion of the classical topics in information theory together with the first comprehensive treatment of network coding, a subject first emerged under information theory in the mid 's that has now diffused into coding theory, computer networks, wireless communications, complexity theory, cryptography, graph theory, etc.

6TH SEM INFORMATION THEORY AND CODING (06EC65) Dept. of ECE, SJBIT, B’lore 60 5 Unit – 1: Information Theory Introduction: • Communication Communication involves explicitly the transmission of information from one point to another.

Now the book is published, these files will remain viewable on this website. The same copyright rules will apply to the online copy of the book as apply to normal books. [e.g., copying the whole book onto paper is not permitted.] History: Draft - March 14 Draft - April 4 Draft - April 9 Draft - April Information Theory, Coding and Cryptography.

Ranjan Bose. Tata McGraw-Hill Education, The examples aren't well explained too. I got frustated and gave up on this book. This is for people who already have some basic knowledge and also have a good mathematical reasoning/5(8). Information theory and coding Books free download Information theory and coding book free download pdf.

In this post, we are providing the Information theory and coding textbooks, and reference books for free. This subject is mainly useful for Computer Science Engineering students. The author’s clearly explained about the Information theory and coding by using the. TY - BOOK. T1 - Information theory.

T2 - Coding theorems for discrete memoryless systems. AU - Csiszár, Imre. AU - Körner, János. PY - /1/1. Y1 - /1/1. N2 - Csiszár and Körner’s book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical by: Network information theory extends the classical theory from a simple channel to general networks with various sources and destinations and shared resources.

Some of the techniques developed in network information theory, like network coding, multiple description coding, and successive cancellation decoding, can be found in real network. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking.

With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and : Abbas El Gamal, Young-Han Kim.

Download Citation | Information Theory and Network Coding (Yeung, R.W.; ) [Book review] | This is an updated and extended version of the author's book A First Course in Information Theory. Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues.

It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique. Network Coding Theory by Raymond Yeung, S-Y Li, N Cai - Now Publishers Inc A tutorial on the basics of the theory of network coding.

It presents network coding for the transmission from a single source node, and deals with the problem under the more general circumstances when. This is an updated and extended version of the author's book A First Course in Information Theory. The current book consists of two parts.

Part I contains 16 chapters, 14 of them basically identical with those of the first version, not addressing networks. The two new chapters cover differential entropy and continuous alphabet (mainly Gaussian) by: 2. The lectures of this course are based on the first 11 chapters of Prof.

Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer ). This book and its predecessor, A First Course in Information Theory (Kluweressentially the first edition of the book), have been adopted by over 60 universities around the.

Book Editor(s): Alain Glavieux. Search for more papers by this author Quantitative measurement of information. Source coding. Channel coding. Channels with continuous noise.

Information theory and channel coding. Bibliography. Channel Coding in Communication Networks: From Theory to Turbocodes. Related; Information. Network Information Theory Book The book provides a comprehensive coverage of key results, techniques, and open problems in network information theory The organization balances the introduction of new techniques and new models The focus is on discrete memoryless and Gaussian network models We discuss extensions (if any) to many users and large File Size: 1MB.

Exercise Problems: Information Theory and Coding Prerequisite courses: Mathematical Methods for CS; Probability Overview and Historical Origins: Foundations and Uncertainty.

Why the movements and transformations of information, just like those of a ﬂuid, are law-governed. How concepts of. Information Theory and Coding - Solved Problems Free Preview.

Explains the basic principles of information theory and coding using complex numerical examples with detailed solutions; Can be treated as illustrated account of an information processing system, suitable for step-by-step learning Information Theory and Coding - Solved Problems.

Network Information Theory. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels.

This book is ideal for. New material on source coding, portfolio theory, and feedback capacity Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

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This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon’s information and the non-block source coding.

Information Theory and Coding 10EC55 PART A Unit – 1: Information Theory Syllabus: Introduction, Measure of information, Average information content of symbols in long independent sequences, Average information content of symbols in long dependent sequences.

Information Theory and Network Coding. Overview of attention for book Table of Contents Chapter 19 Single-Source Linear Network Coding: Acyclic Networks Altmetric Badge. Chapter 20 Single-Source Linear Network Coding: Cyclic Networks Altmetric Badge. Chapter 21 Multi-source Network Coding Overall attention for this book and its chapters.

Foundations of Coding: Theory and Applications of Error-Correcting Codes, with an Introduction to Cryptography and Information Theory. Chichester: Wiley, [3] D., by: 6.