Theory of Information and its Value. 1st ed. 2020
- フォーマット:
- 電子ブック
- 責任表示:
- by Ruslan L. Stratonovich ; edited by Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe
- 言語:
- 英語
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2020
- 形態:
- XXII, 419 p. 33 illus., 4 illus. in color : online resource
- 著者名:
- 目次情報:
-
Foreword Preface 1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties 3 Encoding in the presence of penalties. The first variational problem- 4 The first asymptotic theorem and relative results 5 Computation of entropy for special cases. Entropy of stochastic processes 6 Information in the presence of noise. The Shannon's amount of information 7 Message transmission in the presence of noise. The second asymptotic theorem and its various formulations 8 Channel capacity. Important particular cases of channels 9 Definition of the value of information 10 The value of Shannon information for the most important Bayesian systems 11 Asymptotical results related to the value of information. The Third asymptotic theorem 12 Information theory and the second law of thermodynamics Appendix Some matrix (operator) identities Index Foreword Preface 1 Definition of information and entropy in the absence of noise- 2 Encoding of discrete information in the absence of noise and penalties 3 Encoding in the presence of penalties. The first variational problem- 4 The first asymptotic theorem and relative results 5 Computation of entropy for special cases. Entropy of stochastic processes 6 Information in the presence of noise. The Shannon's amount of information - 書誌ID:
- IT00015603
- ISBN:
- 9783030228330 [3030228339]
9783030228354 [3030228355]
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