Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Third Edition (Foundations and Trends(r) in Communications and Information)

Raginsky, Maxim; Sason, Igal

ISBN 10: 1680835343 / ISBN 13: 9781680835342

Published by Now Publishers, 2019

About this Item

Seller Inventory # 26383252881

Bibliographic Details

• Title: Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Third Edition (Foundations and Trends(r) in Communications and Information)
• Publisher: Now Publishers
• Publication Date: 2019
• Language: English
• ISBN 10: 1680835343
• ISBN 13: 9781680835342
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

Concentration inequalities have been the subject of exciting developments during the last two decades, and have been intensively studied and used as a powerful tool in various areas. These include convex geometry, functional analysis, statistical physics, mathematical statistics, pure and applied probability theory, information theory, theoretical computer science, learning theory, and dynamical systems.

Concentration of Measure Inequalities in Information Theory, Communications, and Coding focuses on some of the key modern mathematical tools that are used for the derivation of concentration inequalities, on their links to information theory, and on their various applications to communications and coding. In addition to being a survey, this monograph also includes various new recent results derived by the authors.

This third edition of the bestselling book introduces the reader to the martingale method and the Efron-Stein-Steele inequalities in completely new sections. A new application of lossless source coding with side information is described in detail. Finally, the references have been updated and ones included that have been published since the original publication.