Front Cover; Information Theory: Coding Theorems for Discrete Memoryless Systems; Copyright Page; PREFACE; Table of Contents; INTRODUCTION; Intuitive background; Informal description of the basic mathematical model; Measuring information; Multi-terminal systems; BASIC NOTATIONS AND CONVENTIONS; CHAPTER 1. Information Measures in Simple Coding Problems; 1. SOURCE CODING AND HYPOTHESIS TESTING. INFORMATION MEASURES; 2. TYPES AND TYPICAL SEQUENCES; 3. SOME FORMAL PROPERTIES OF SHANNON' S INFORMATION MEASURES; 4. NON-BLOCK SOURCE CODING; 5. BLOWING UP LEMMA: A COMBINATORIAL DIGRESSION; CHAPTER 2. Two-Terminal Systems1. THE NOISY CHANNEL CODING PROBLEM; 2. RATE-DISTORTION TRADE-OFF IN SOURCE CODING AND THE SOURCE-CHANNEL TRANSMISSION PROBLEM; 3. COMPUTATION OF CHANNEL CAPACITYAND "DISTORTION RATES; 4. A COVERING LEMMA. ERROR EXPONENT IN SOURCE CODING; 5. A PACKING LEMMA. ON THE ERROR EXPONENT IN CHANNEL CODING; 6. ARBITRARILY VARYING CHANNELS; CHAPTER 3. Multi-Terminal Systems; 1. SEPARATE CODING OF CORRELATED SOURCES; 2. MULTIPLE-ACCESS CHANNELS; 3. ENTROPY AND IMAGE SIZE CHARACTERIZATION; 4. SOURCE AND CHANNEL NETWORKS; REFERENCES; NAME INDEX; SUBJECT INDEX.