Indeholder "The Entropy Concept in Probability Theory", " 1. Entropy of Finite Schemes", " 2. The Uniqueness Theorem", " 3. Entropy of Markov chains", " 4. Fundamental Theorems", " 5. Application to Coding Theory", "On the Fundamental Theorems of Information Theory", " Introduction", " Chapter I. Elementary Inequalities", " 1. Two generalizations of Shannon's inequality", " 2. Three inequalities of Feinstein", " Chapter II. Ergodic Sources", " 3. Concept of a source. Stationarity. Entropy", " 4. Ergodic Sources", " 5. The E property. McMillan's theorem", " 6. The martingale concept. Doob's theorem", " 7. Auxiliary proposisions", " 8. Proof of McMillan's theorem", " Chapter III. Channels and the sources driving them", " 9. Concept of channel. Noise. Stationarity. Anticipation and memory", " 10. Connection of the channel to the source", " 11. The ergodic case", " Chapter IV. Feinstein's Fundamental Lemma", " 12. Formulation of the problem", " 13. Proof of the lemma", " Chapter V. Shannon's Theorems", " 14. Coding", " 15. The first Shannon theorem", " 16. The second Shannon theorem.", "Conclusion", "References".

"The Entropy Concept in Probability Theory" handler om ???
" 1. Entropy of Finite Schemes" handler om ???
" 2. The Uniqueness Theorem" handler om ???
" 3. Entropy of Markov chains" handler om ???
" 4. Fundamental Theorems" handler om ???
" 5. Application to Coding Theory" handler om ???
"On the Fundamental Theorems of Information Theory" handler om ???
" Introduction" handler om ???
" Chapter I. Elementary Inequalities" handler om ???
" 1. Two generalizations of Shannon's inequality" handler om ???
" 2. Three inequalities of Feinstein" handler om ???
" Chapter II. Ergodic Sources" handler om ???
" 3. Concept of a source. Stationarity. Entropy" handler om ???
" 4. Ergodic Sources" handler om ???
" 5. The E property. McMillan's theorem" handler om ???
" 6. The martingale concept. Doob's theorem" handler om ???
" 7. Auxiliary proposisions" handler om ???
" 8. Proof of McMillan's theorem" handler om ???
" Chapter III. Channels and the sources driving them" handler om ???
" 9. Concept of channel. Noise. Stationarity. Anticipation and memory" handler om ???
" 10. Connection of the channel to the source" handler om ???
" 11. The ergodic case" handler om ???
" Chapter IV. Feinstein's Fundamental Lemma" handler om ???
" 12. Formulation of the problem" handler om ???
" 13. Proof of the lemma" handler om ???
" Chapter V. Shannon's Theorems" handler om ???
" 14. Coding" handler om ???
" 15. The first Shannon theorem" handler om ???
" 16. The second Shannon theorem." handler om ???
"Conclusion" handler om ???
"References" handler om ???

Informationsteori som matematisk disciplin. Doob, Feinstein og Shannon. ( )