Coding and Information Theory

Author: S. Roman
Publisher:
Publish Date: 1998-03-01
Features: This book is a graduate-level textbook. It is divided into two parts. The first part primarily elaborates on information theory, including the proof of Shannon's famous noise coding theorem. The second part mainly introduces coding theory, including Hamming codes, Golay codes, Reed-Muller codes, BCH codes, Reed-Solomon codes, Justesen codes, and Goppa codes. Readers are required to have a basic understanding of probability theory and modern algebra to read this book.