Introduction to Coding and Information Theory - Steven Roman Gebunden

This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes the entropy of information sources and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels decoding in the presence of errors the general theory of linear codes and such specific cod es as Hamming codes the simplex codes and many others.