Information Theory: Coding Theorems for Discrete Memoryless Systems. Probability and Mathematical Statistics. A Series of Monographs and Textbooks
Imre Csiszar, Janos Korner
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.
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.
వర్గాలు:
సంవత్సరం:
1982
ప్రచురణకర్త:
Academic Press
భాష:
english
పేజీల సంఖ్య:
452
ISBN 10:
0121984508
ISBN 13:
9780121984502
ఫైల్:
PDF, 15.91 MB
IPFS:
,
english, 1982