The Mathematical Theory of Communication by Claude E Shannon | (PDF) Free Download

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Ebook Info

  • Published: 1998
  • Number of pages: 146 pages
  • Format: PDF
  • File Size: 2.61 MB
  • Authors: Claude E Shannon

Description

Scientific knowledge grows at a phenomenal pace–but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.

User’s Reviews

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

⭐This is the seminal work that may be said to include the basic concepts, definitions and theorems of information and communication theory. This book does not need any praise because anybody who had even an introductory education in computer science or electronics of communication will have met the name of Shannon (if you haven’t yet, please rush to Google and read his achievements).The beauty of this edition is twofold. It includes two main parts. First part is by Weaver, and you don’t need anything more than high school logic and algebra to understand the very clearly explained concepts. The second part by Shannon is ‘the real thing’ and for the mathematically educated reader, you need a fine grasp of probability theory, calculus, and a little bit of calculus of variations if you want to absorb all of the material.To sum it up, if you want to really understand what entropy means in terms of information theory, then this is THE book for it. You’ll also find very entertaining examples about the redundancy and entropy of the English language and how this relates to creating crossword puzzles in 2 dimension or 3 dimension.You owe it to yourself to read this short book if you are a computer scientist, computer engineer or electronics engineer.

⭐Interesting from the point of view of history of ideas and yet too complicated. Mathematics required to fully appreciate the book

⭐This is a great classical book! Probably it is not so fresh because Shannon’s theory had been prevailed all over the world, but his theory hasn’t waned at all. This book is written in plain words, and explanations are delivered carefully word-by-word. Of course, as is usual with mathematic-related books, there are mathematical expressions such as logs or integrals, but they are fairly torelable. I think this is a “must read” book for communication engineers, although this is not a “How To” book and you wouldn’t be able to apply this theory directly to your daily project.

⭐But it’s certainly a seminal work. Had picked of some pieces of the thoughts in it over the years, thought it would be worth reading the original. Had to do some mental calisthenics to follow some parts. Glad to see Shannon getting more fo the credit he so richly deserves.

⭐This is a classic which does not receive the attention it deserves. For an academic mathematical text it is very accessible. This work is if anything more important than Turing’s paper “On Computable Numbers with Application to the Etscheidungsproblem”, which famously described the concept of a stored program computer.

⭐This is a very general overview of communications theory that is not specific to either electronics nor to human communications, but more to describing information transfer concepts and metrics. To get the most of this book, you should have a fair memory of the concepts of differential and integral calculus but not more (e.g. differential equations).

⭐It’s exactly what you’d expect. A reprint of the paper.

⭐Very interesting look at the entire topic from a new angle.

⭐A known masterpiece which should be in the personal library of all interested in this field.

⭐Essential background reading for information scientists.

⭐I would consider this essential reading for anyone in computing. It’s value for practical computing and day to day programming and architecture, particular of distributed systems is seriously undervalued.

⭐In this book, Shannon tries to convey the meaning and applications of entropy in communication on 100 pages (there are 20 pages of introduction by a Mr. Weaver). I believe Shannon wrote the book mainly for engineers, because the mathematical presentation is rather sketchy, and often you feel that he assumes that his readers have already some engineering experience in communication. Entropy and related concepts (channel capacity, redundancy, …) really become meaningful to the reader only if they are applied to practical examples. The book is a bit uneven in this respect, because sometimes Shannon provides the examples, and sometimes he doesn’t. I found this book an interesting but tough read, asking a lot of extra pencil-and-paper labour from me. Some quantities (e. g. the symbol length) are designated by different letters in different chapters, which I found confusing. The writing itself is very clear and pleasant. I would say, as a stand-alone introductory text the book is too sketchy.

⭐It is unusual that a researcher lays the theoretical foundation of an entire research area and manage to describe it in such a pedagogic way. First published the year before in Bell System Technical Journal, this work has been cited over 80 000 times and is hence one of the most important svientific works during the 20th century. Moreover, its significance has only increased with time since it was written. This is one of the founding stones of the Information Era.

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