This chapter introduces some of the basic concepts of information theory, as well as the definitions and notations of probabilities that will be used throughout the book.

Lecture Notes The following lecture notes were written for 6.441 by Professors Yury Polyanskiy of MIT and Yihong Wu of University of Illinois Urbana-Champaign. A complete copy of the notes …

An engaging account of how information theory is relevant to a wide range of natural and man-made systems, including evolution, physics, culture and genetics. Includes interesting …

This chapter delves into the applications of information theory across various fields such as linguistics, communications, computing, neuroscience, and evolutionary theory.

In this chapter we provide basic concepts of information theory like entropy, mutual information and the Kulback-Leibler divergence. We also prove fundamental properties and some …

Abstract Shannon’s mathematical theory of communication defines fundamental limits on how much information can be transmitted between the different components of any man-made or …

theory and information theory. The intent was to develop the tools of ergodic theory of potential use to information theory and to demonstrate their use by proving Shannon coding theorems …