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Information Theory

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Information Systems[1]

Information Theory, Inference, and Learning Algorithms
Author: David MacKay  Language:
Information Theory, Inference, and Learning Algorithms This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics,and Computing.It expects familiarity with calculus, probability theory, and linear algebra a . . . . .
Lecture Notes on Network Information Theory
Author: Abbas El Gamal, Young-Han Kim  Language:
Contents: Entropy, Mutual Information, and Typicality; Point-to-Point Communication; Single-hop Networks; Multi-hop Networks; Extentions.
Algorithmic Information Theory
Author: G J Chaitin  Language:
Algorithmic Information Theory Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Gödel\'s incompleteness theorem, using an information theoretic approach based on the s . . . . .
Information Theory and Coding
Author: Dr John Daugman  Language:
The aims of this course are to introduce the principles and applications of information theory. The course will study how information is measured in terms of probability and entropy, and the relations . . . . .
A primer on information theory, with applications to neuroscience
Author: Felix Effenberger  Language:
Given the constant rise in quantity and quality of data obtained from neural systems on all scales, information-theoretic analyses became more and more popular over the last decades in the neuroscienc . . . . .
Semidefinite programming, harmonic analysis and coding theory
Author: Christine Bachoc (IMB)  Language:
These lecture notes where presented as a course of the CIMPA summer school in Manila, July 20-30, 2009, Semidefinite programming in algebraic combinatorics.
Algorithmic Information Theory
Author: Peter D. Grunwald and Paul M.B. Vitanyi  Language:
We introduce algorithmic information theory, also known as the theory of Kol- mogorov complexity. We explain the main concepts of this quantitative approach to defining ‘information’. We discuss the . . . . .

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