The second edition of this fundamental handbook maintains the clear and stimulating presentation style of the first edition, offering the reader a didactic blend of mathematics, physics, statistics, and information theory.
The book covers in detail all essential topics of information theory, including entropy, data compression, channel capacity, rate-distortion theory, network information theory, and hypothesis testing. The presentation of the material enables the reader to deeply understand the theory and its applications. 

The problem collections and the telegraphic summary at the end of each chapter provide additional assistance to the reader. The historical elements presented in each chapter summarize the key points. This second edition of "Elements of Information Theory" remains the ideal textbook for teaching the subject in computer science, computer engineering, electrical engineering, statistics, and telecommunications departments.