This book is "information theory-light" (approximately pages) and "coding theory-heavy" (approximately pages). The book covers many families of codes and this is definitely its strength. In light of the series title, "Graduate Texts in Mathematics", and in view of it being published by Springer-Verlag, this text is not an "easy read"/5. The remainder of the book provides an introduction to information theory, leading up to a discussion of Shannon's encoding theorems in Chapter The concepts of entropy and channel capacity are developed in Chapters 6 and 8. The book includes a number of exercises for the student, but few of them include answers. theory and linear algebra. If you are new to information theory, then there should be enough background in this book to get you up to speed (Chapters 2, 10, 13, and 14). However, classics on information theory such as Cover and Thomas () and File Size: 8MB. Introduction to Coding Theory Lecture Notes∗ YehudaLindell DepartmentofComputerScience Bar-IlanUniversity,Israel January25, Abstract These are lecture notes for an advancedFile Size: KB.

This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos by: 6. INTRODUCTION TO INFORMATION THEORY {ch:intro_info} This chapter introduces some of the basic concepts of information theory, as well as the deﬁnitions and notations of probabilities that will be used throughout the book. The notion of entropy, which is fundamental to the whole topic of this book File Size: KB. Information Theory was not just a product of the work of Claude Shannon. It was the result of crucial contributions made by many distinct individuals, from a variety of backgrounds, who took his ideas and expanded upon them. Indeed the diversity and directions of their perspectives and interests shaped the direction of Information Size: KB. Shannon’s Information theory had a profound impact on our understanding of the concepts in communication. In this introductory chapter, we will look at a few representative examples which try to give a ﬂavour of the problems which can be addressed using information theory. However note that,File Size: 2MB.

Shannon’s noiseless coding theorem Lecturer: Michel Goemans. In these notes we discuss Shannon’s noiseless coding theorem, which is one of the founding results of the eld of information theory. Roughly speaking, we want to answer such questions as how much information is contained in some piece of data? One way to approach this question is to. A2A, thanks. I don’t know, so my approach is such a situation is to start with the shortest, most transparent sources. I’d start with the first 12 pages of: http. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the : $ The decisive event which established the discipline of information theory, and brought it to immediate worldwide attention, was the publication of Claude E. Shannon's classic paper "A Mathematical Theory of Communication" in the Bell System Technical Journal in July and October In this revolutionary and groundbreaking paper, the work for which Shannon had substantially completed at Bell.