Introduction to Coding Theory (Graduate Texts in Mathematics, 86)

Leans heavily in the direction of abstraction, and does so cogently and rigorously. Lint is a great mathematics writer. But please note: This work is not the purchase to make if you're implementation - minded. If you're in the field applying the math to the technology on the run, carry Berlekamp.

This book is very terse, and assumes a lot of knowledge, which is to be expected. However, it does have a tendency to do in one line in a proof things that really aren't all that obvious to people who aren't math graduate students.I'm a CS undergrad with a math minor. I know math a lot better than most CS people. if you're just trying to kind of learn some coding theory, this is not a book for you. If you're a math major who wants to prove everything about coding theory as a pure math field, this is a book for you.

i think this book is very good for who's studying cryptography. if you are interested in combinatorics, i recommend to read this book.

Very good intro textbook. It gives short, detailed preps to various coding areas (linear, cyclic, convolutional). The biggest advantage this book has is that it does not throw at You tonnes of unnecessary info (like many other thick books do). That is, it assumes reader has some basic understanding of algebra and probability theory. Let's say, it gives good theoretical presentation such that the reader gets good theoretical understanding, it is not example-based.