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.
|Publisher:||University of Illinois Press|
|Product dimensions:||6.00(w) x 9.00(h) x 0.70(d)|
About the Author
Claude E. Shannon was a research mathematician at the Bell Telephone Laboratories and Donner professor of science at the Massachusetts Institute of Technology. Warren Weaver had a distinguished academic, government, and foundation career. Both authors received numerous awards and honors.
Most Helpful Customer Reviews
The Mathematical Theory of Communication based on 0 ratings. 2 reviews.
Where it all began.---The book grew out from an epic scientific paper in 1948, but luckly its author Shannon chose a light touch and a gentle delivery in his presentation. The paper became a book, with a 1949 first edition, which is now a classic, and which has been reprinted a number of times since, ending with the present lovely 1998 edition. It is still the place where readers can learn the essentials, including the two equations of information theory, that are now named after Claude Shannon. And more importantly incisive explanation of the reasoning leading up to the equations. What was the thinking that produced this landmark of theory!
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.