Information theory

	Introduction	1
	Basic Notations and Conventions	9
1	Information Measures in Simple Coding Problems	13
1	Source Coding and Hypothesis Testing. Information Measures	15
2	Types and Typical Sequences	29
3	Some Formal Properties of Shannon's Information Measures	47
4	Non-Block Source Coding	61
5	Blowing Up Lemma: A Combinatorial Digression	86
2	Two-Terminal Systems	97
1	The Noisy Channel Coding Problem	99
2	Rate-Distortion Trade-off in Source Coding and the Source-Channel Transmission Problem	123
3	Computation of Channel Capacity and [delta]-Distortion Rates	137
4	A Covering Lemma. Error Exponent in Source Coding	150
5	A Packing Lemma. On the Error Exponent in Channel Coding	161
6	Arbitrarily Varying Channels	204
3	Multi-Terminal Systems	235
1	Separate Coding of Correlated Source	237
2	Multiple-Access Channels	270
3	Entropy and Image Size Characterization	303
4	Source and Channel Networks	359
	References	417
	Name Index	429
	Subject Index	431
	Index of Symbols and Abbreviations	449

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