A Student S Guide To Coding And Information Theory
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A Student's Guide to Coding and Information Theory
Author: Stefan M. Moser
language: en
Publisher: Cambridge University Press
Release Date: 2012-01-26
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
Information Theory
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.
Basic Concepts in Information Theory and Coding
Author: Solomon W. Golomb
language: en
Publisher: Springer Science & Business Media
Release Date: 1994-04-30
This highly readable text provides a clear exposition of the implications and interpretations of the fundamentals of discrete information theory and coding. Focusing on the results of practical applications, the authors cover information measures, Shannon's channel capacity/coding theorems, and source and channel coding concepts. The clear, accessible text will serve as an introduction to the field for professionals and students in communication systems, computer science, and electrical systems science.