This comprehensive guide to modern probability theory, information theory, and coding theory is a must-read for any engineering student looking to gain a deep understanding of these fundamental concepts.

With an emphasis on sample space, random variables, capacity, and more, this book provides a thorough grounding in the principles of statistical theory of communications.

The author's approach is accessible and easy to follow, making it perfect for students with no prior knowledge of probability theory.

The inclusion of many reference tables and an extensive bibliography with over 200 entries makes this book an invaluable resource for anyone looking to delve deeper into the subject.

Whether you're a student or a professional looking to expand your knowledge, this book is sure to provide you with a solid foundation in modern probability theory, information theory, and coding theory.