Advanced Information Theory notes

An Introduction to Information Theory and Applications

This note explains the following topics: uncertainty and information, Efficient coding of information, Stationary processes and markov chains, Coding for noisy transmission, Complements to efficient coding of Information, Error correcting codes and cryptography.

Author(s): F Bavaud, J C Chappelier and J Kohlas

293 Pages

Lecture Notes on Information Theory by Prof. Dr. rer. nat. Rudolf Mathar

This lecture note covers introduction, Fundamentals of Information Theory, Source Coding and Information Channels.

Author(s): Prof. Dr. rer. nat. Rudolf Mathar, Institute for Theoretical Information Technology Kopernikusstr, Germany

59 Pages

Information Theory Lecture Notes

This PDF covers the following topics related to Information Theory : Introduction, Entropy, Relative Entropy, and Mutual Information, Asymptotic Equipartition Properties, Communication and Channel Capacity, Method of Types, Conditional and Joint Typicality, Lossy Compression & Rate Distortion Theory, Joint Source Channel Coding.

Author(s): Prof. Tsachy Weissman

75 Pages

Information Theory and Coding cam

The PDF covers the following topics related to Information Theory : Foundations: probability, uncertainty, information, Entropies defined, and why they are measures of information, Source coding theorem; prefix, variable-, and fixed-length codes, Channel types, properties, noise, and channel capacity, Continuous information, density, noisy channel coding theorem, Fourier series, convergence, orthogonal representation, Useful Fourier theorems, transform pairs, Sampling, aliasing, Discrete Fourier transform, Fast Fourier Transform Algorithms, The quantised degrees-of-freedom in a continuous signal, Gabor-Heisenberg-Weyl uncertainty relation, Kolmogorov complexity.

Author(s): J G Daugman

75 Pages

Information Theory in Computer Science

This note explains the following topics: Shearer's Lemma, Entropy, Relative Entropy, Hypothesis testing, total variation distance and Pinsker's lemma, Stability in Shearer's Lemma, Communication Complexity, Set Disjointness, Direct Sum in Communication Complexity and Internal Information Complexity, Data Structure Lower Bounds via Communication Complexity, Algorithmic Lovasz Local Lemma, Parallel Repetition Theorem, Graph Entropy and Sorting.

Author(s): Madhu Sudan

NA Pages

Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

Currently this section contains no detailed description for the page, will update this page soon.

Author(s):

Pages