This highly readable text provides a clear exposition of the implications and interpretations of the fundamentals of discrete information theory and coding. Focusing on the results of practical applications, the authors cover information measures, Shannon’s channel capacity/coding theorems, and source and channel coding concepts. The clear, accessible text will serve as an introduction to the

This highly readable text provides a clear exposition of the implications and interpretations of the fundamentals of discrete information theory and coding. Focusing on the results of practical applications, the authors cover information measures, Shannon’s channel capacity/coding theorems, and source and channel coding concepts. The clear, accessible text will serve as an introduction to the field for professionals and students in communication systems, computer science, and electrical systems science.

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Comments

W Boudville says:

Agent 00111 = Claude Shannon ?! This book is a superb exposition of information theory. The 3 authors are acknowledged experts in the field (especially Solomon Golomb). But more than that. The writing style is deeply technical, but clear enough that it can be easily followed by the attentive reader.There is only 1 flaw, so to speak. The book starts off with by quickly going into Shannon’s definition of entropy. And building from there, following and expanding the path laid out by Shannon decades ago. The oddity is…

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