**Information Theory and Statistical Physics**

by Neri Merhav

**Publisher**: arXiv 2010**Number of pages**: 176

**Description**:

This document consists of lecture notes for a graduate course, which focuses on the relations between Information Theory and Statistical Physics. The course is aimed at EE graduate students in the area of Communications and Information Theory, as well as to graduate students in Physics who have basic background in Information Theory. Strong emphasis is given to the analogy and parallelism between Information Theory and Statistical Physics, as well as to the insights, the analysis tools and techniques that can be borrowed from Statistical Physics and 'imported' to certain problem areas in Information Theory.

Download or read it online for free here:

**Download link**

(1.2MB, PDF)

## Similar books

**Generalized Information Measures and Their Applications**

by

**Inder Jeet Taneja**-

**Universidade Federal de Santa Catarina**

Contents: Shannon's Entropy; Information and Divergence Measures; Entropy-Type Measures; Generalized Information and Divergence Measures; M-Dimensional Divergence Measures and Their Generalizations; Unified (r,s)-Multivariate Entropies; etc.

(

**5839**views)

**A Mathematical Theory of Communication**

by

**Claude Shannon**

Shannon presents results previously found nowhere else, and today many professors refer to it as the best exposition on the subject of the mathematical limits on communication. It laid the modern foundations for what is now coined Information Theory.

(

**52212**views)

**Information-Theoretic Incompleteness**

by

**Gregory J. Chaitin**-

**World Scientific**

In this mathematical autobiography, Gregory Chaitin presents a technical survey of his work and a non-technical discussion of its significance. The technical survey contains many new results, including a detailed discussion of LISP program size.

(

**5511**views)

**Entropy and Information Theory**

by

**Robert M. Gray**-

**Springer**

The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.

(

**11521**views)