An Introduction to Information Theory (Dover Books on Mathematics) by Fazlollah M. Reza | (PDF) Free Download

Description

Written for an engineering audience, this book has a threefold purpose: (1) to present elements of modern probability theory — discrete, continuous, and stochastic; (2) to present elements of information theory with emphasis on its basic roots in probability theory; and (3) to present elements of coding theory.The emphasis throughout the book is on such basic concepts as sets, the probability measure associated with sets, sample space, random variables, information measure, and capacity. These concepts proceed from set theory to probability theory and then to information and coding theories. No formal prerequisites are required other than the usual undergraduate mathematics included in an engineering or science program. However, since these programs may not include a course in probability, the author presents an introductory treatment of probability for those who wish to pursue the general study of statistical theory of communications. The book is divided into four parts: memoryless discrete themes, memoryless continuum, schemes with memory, and an outline of some recent developments. An appendix contains notes to help familiarize the reader with the literature in the field, while the inclusion of many reference tables and an extensive bibliography with some 200 entries makes this an excellent resource for any student in the field.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book represents an indispensable source (also hand-book-like one !!!) for scientific research and engineering workers, both beginners, students and real experienced colleagues. The book clearly reveals the roots of the information theory which sometimes remain hidden in the modern probability theory … Interestingly, both discrete and continuous information-carrying signals are considered in detail which enables the readership to reconstruct the whole building of the statistical theory of coding and communications. The book is also of extreme interest for physicists-chemists, since it pays a lot of attention to the notion of Shannon’s Entropy, which is widely used in the modern physics … In short, I might heartily recommend reading this book !

⭐Is very good to understand the math underground thermo and code comunication.

⭐I was excited to purchase this book only to find that its material is out-dated, finally realizing this is a re-publication of the original book. Professor Reza is of course a great expert in the field, but I’d have loved this book to include new improvements in the field of decoding, etc.

⭐This book is the best, like introduction in the theoryinformation. The examples are great, the analogies withthe circuit are helpful. The review of mathematical backgrounds,in special the statistical, the theorems, permit agood comprehension.The new books in this topic are bad, because they separatethe aplications and the theory, don’t waste your money in them!

⭐This book is fairly confusing to me. It seems to be a collection of bits and pieces about information theory rather than a logical discussion. I’m not sure who it’s intended for. But it’s not intended for people who want to be able to follow clear arguments and logic.The first chapter is on probability at a basic level, so perhaps it is for people who don’t know probability. But there are gaps and logical jumps everywhere, even in this elementary discussion, and I cannot make any sense out of it. The exercises seem almost random and unrelated to the text itself. When I tried to dip into it at various points to clarify something else, I found the same half-baked approach throughout the book. There is a bit of discussion about one topic, then a bit of discussion about another topic, but it’s all disjointed and unconnected.It seems like a typical “Dover Books” textbook which was too shoddy to be kept in print under a better-quality publisher. As typical for these Amazon reviews, sadly there are many glowing reviews from people who haven’t really read the book. One person even admits they have only read the first few pages but then claims “it is ideal for self-study”. What are you talking about? Possibly I am another one of these people who hasn’t read the book in total, but at least I have tried to read it and failed. This book is very far from ideal for self-study or any other kind of study.

⭐Like most Dover mathematics books, this is a high-quality reprint of an older textbook (1961). I have read the first 100 pages, and am very impressed thus far. The writing is crisp and clear, and moves at a good pace. The book seems to me to be ideal for self-study and as a lead-in to more modern (and complex) treatments. In a way, the age of the book stands in its favor, as Information Theory was just being canonized at about the time of publication. Thus, this book attempts to organize and present about 20 years worth of research, rather than the 60 or so years that modern authors may feel compelled to include. Thank God for Dover books.

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