Analytic Information Theory
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Analytic Information Theory
| Author | : Michael Drmota |
| Publisher | : Cambridge University Press |
| Total Pages | : 382 |
| Release | : 2023-09-07 |
| Genre | : Computers |
| ISBN | : 1108647987 |
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Aimed at graduate students and researchers interested in information theory and the analysis of algorithms, this book explores problems of information and learning theory, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes.
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Language: en
Pages: 382
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Modern, current, and future communications/processing aspects motivate basic information-theoretic research for a wide variety of systems for which we do not ha
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This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges betw
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Demonstrates how the information theory approach to experimental data can be of benefit not only to analytical chemists but to all those using these techniques
