The reliable transmission of information bearing signals over a noisy communication channel is at the heart of what we call communication. Information theory—founded by Claude E. Shannon in 1948—provides a mathematical framework for the theory of communication; it describes the fundamental limits to how efficiently one can encode information and still be able to recover it with negligible loss. This course will examine the basic concepts of this theory. What follows is a tentative list of topics to be covered. 1. Volume I: (a) Fundamentals of source coding (data compression): Discrete memoryles
In this chapter we describe how information produced by a source, either analog or digital, can be e...
In a clear, concise, and modular format, this book introduces the fundamental concepts and mathemati...
Information theory: the problem of source coding- “what information should be sent”, and the problem...
The reliable transmission of information bearing signals over a noisy commu-nication channel is at t...
In an accessible and practical style, Information and Communication Theory explores the topic of inf...
6.441 offers an introduction to the quantitative theory of information and its applications to relia...
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s...
The topic of this book is the automatic transmission of numerical information. We focus on the struc...
In the previous chapters we have examined several methods to transmit digital signals through a chan...
Some algorithms and methods of information compression, which are characterized by surplus. depend o...
This book is intended to introduce coding theory and information theory to undergraduate students of...
Information- Self information, Shannon’s Entropy, joint and conditional entropies, mutual informatio...
The fundamental problem of the transmission of information is divided in two parts. The first can be...
The seminal work on the mathematical view of information is the paper .The Mathematical Theory of Co...
Ahlswede R. General theory of information transfer: Updated. Discrete Applied Mathematics. 2008;156(...
In this chapter we describe how information produced by a source, either analog or digital, can be e...
In a clear, concise, and modular format, this book introduces the fundamental concepts and mathemati...
Information theory: the problem of source coding- “what information should be sent”, and the problem...
The reliable transmission of information bearing signals over a noisy commu-nication channel is at t...
In an accessible and practical style, Information and Communication Theory explores the topic of inf...
6.441 offers an introduction to the quantitative theory of information and its applications to relia...
This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s...
The topic of this book is the automatic transmission of numerical information. We focus on the struc...
In the previous chapters we have examined several methods to transmit digital signals through a chan...
Some algorithms and methods of information compression, which are characterized by surplus. depend o...
This book is intended to introduce coding theory and information theory to undergraduate students of...
Information- Self information, Shannon’s Entropy, joint and conditional entropies, mutual informatio...
The fundamental problem of the transmission of information is divided in two parts. The first can be...
The seminal work on the mathematical view of information is the paper .The Mathematical Theory of Co...
Ahlswede R. General theory of information transfer: Updated. Discrete Applied Mathematics. 2008;156(...
In this chapter we describe how information produced by a source, either analog or digital, can be e...
In a clear, concise, and modular format, this book introduces the fundamental concepts and mathemati...
Information theory: the problem of source coding- “what information should be sent”, and the problem...