
Algorithmic Information Theory
by Peter D. Gruenwald, Paul M.B. Vitanyi
Publisher: CWI 2007
Number of pages: 37
Description:
We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain the main concepts of this quantitative approach to defining 'information'. We discuss the extent to which Kolmogorov's and Shannon's information theory have a common purpose, and where they are fundamentally different.
Download or read it online for free here:
Download link
(330KB, PDF)
Similar books
Conditional Rate Distortion Theoryby Robert M. Gray - Information Systems Laboratory
The conditional rate-distortion function has proved useful in source coding problems involving the possession of side information. This book represents an early work on conditional rate distortion functions and related theory.
(11512 views)
Lecture Notes on Network Information Theoryby Abbas El Gamal, Young-Han Kim - arXiv
Network information theory deals with the fundamental limits on information flow in networks and optimal coding and protocols. These notes provide a broad coverage of key results, techniques, and open problems in network information theory.
(17034 views)
Data Compression- Wikibooks
Data compression is useful in some situations because 'compressed data' will save time (in reading and on transmission) and space if compared to the unencoded information it represent. In this book, we describe the decompressor first.
(11638 views)
A Mathematical Theory of Communicationby 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.
(66425 views)