Concentration Of Measure Inequalities In Information Theory, Communications, And Coding

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.

שנה

2019

שפה

English

סדרה

Foundations and Trends(r) in Communications and Information (Book 45)

הוצאה

Now Publishers Inc

מהדורות

3

עמודים

280

ISBN

9781680835342

מקור הנתונים: Wikidata