**Data Compression Explained**

by Matt Mahoney

**Publisher**: mattmahoney.net 2013

**Description**:

This book is for the reader who wants to understand how data compression works, or who wants to write data compression software. Prior programming ability and some math skills will be needed. This book is intended to be self contained.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Information Theory and Statistical Physics**

by

**Neri Merhav**-

**arXiv**

Lecture notes for a graduate course focusing 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, or graduate students in Physics.

(

**6989**views)

**Exploring Randomness**

by

**Gregory J. Chaitin**-

**Springer**

This book presents the core of Chaitin's theory of program-size complexity, also known as algorithmic information theory. LISP is used to present the key algorithms and to enable computer users to interact with the author's proofs.

(

**10031**views)

**A primer on information theory, with applications to neuroscience**

by

**Felix Effenberger**-

**arXiv**

This chapter is supposed to give a short introduction to the fundamentals of information theory, especially suited for people having a less firm background in mathematics and probability theory. The focus will be on neuroscientific topics.

(

**3104**views)

**Error-Correction Coding and Decoding**

by

**Martin Tomlinson, et al.**-

**Springer**

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies.

(

**481**views)