Coding and Information Theory

by Steven Roman

This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion.

• Format: Hardcover
• Language: English
• ISBN: 0387978127
• ISBN13: 9780387978123
• Release Date: June 1992
• Publisher: Springer
• Length: 488 Pages
• Weight: 1.91 lbs.
• Dimensions: 1.2" x 6.4" x 9.6"

Customer Reviews

A good book for learning both coding and information theory

It was a pleasure reading this book! I think Roman provides a fresh introduction to information theory and shows its inherent connections with coding theory. I found his presentation on the noisy coding theorem very well written. Another enjoyable part of the book is his treatment of linear codes. He weaves a web on intrigue around it, showing it from different perspectives (e.g. a design theory view, field , and vector space view). Two thumbs up!

Very useful for studing, teaching and reference

This book is a very good survey on its subject. It has been a pleasure to work with it in my teaching and also in my research. One of its obvious advantages is its careful presentation of the basics on noisy coding and Shannon's theorem, which is neglected in most of the many alternatives. All further parts including the well written appendix are a detailed and useful source of information. For my personal taste, Chapter 2 dealing with noiseless coding could easily have been omitted, and instead, it would have been desirable to add a chapter on codes coming from algebraic geometry.