Information Theory: Coding Theorems for Discrete Memoryless Systems. Probability and Mathematical Statistics. A Series of Monographs and Textbooks

✍ Scribed by Imre Csiszar, Janos Korner

• Publisher: Academic Press
• Year: 1982
• Tongue: English
• Leaves: 454
• Category: Library

✦ Synopsis

Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range. 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. Chapter 2 describes the properties and practical aspects of the two-terminal systems. This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels. Chapter 3 looks into the theory and practicality of multi-terminal systems.

This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.

✦ Table of Contents

Content:
Probability and Mathematical Statistics: A Series of Monographs and Textbooks, Pages II-III
Front Matter, Page V
Dedication, Page VI
Copyright, Page VI
PREFACE, Pages VII-X
INTRODUCTION, Pages 1-8
BASIC NOTATIONS AND CONVENTIONS, Pages 9-12
CHAPTER 1 - Information Measures in Simple Coding Problems, Pages 13,15-96
CHAPTER 2 - Two-Terminal Systems, Pages 97,99-233
CHAPTER 3 - Multi-Terminal Systems, Pages 235,237-416
REFERENCES, Pages 417-427
NAME INDEX, Pages 429-431
SUBJECT INDEX, Pages 433-447
INDEX OF SYMBOLS AND ABBREVIATIONS, Pages 449-452