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Information Theory : Coding Theorems for Discrete Memoryless Systems, PDF eBook

Information Theory : Coding Theorems for Discrete Memoryless Systems PDF

Edited by Z. W. Birnbaun, E. Lukacs

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Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range.

This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon's information and the non-block source coding.

Chapter 2 describes the properties and practical aspects of the two-terminal systems.

This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels.

Chapter 3 looks into the theory and practicality of multi-terminal systems. This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.

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