Algorithmic Information Theory: Mathematics of Digital Information Processing

by Peter Seibt

Algorithmic Information Theory treats the mathematics of many important areas in digital information processing. It has been written as a read-and-learn book on concrete mathematics, for teachers, students and practitioners in electronic engineering, computer science and mathematics. The presentation is dense, and the examples and exercises are numerous. It is based on lectures on information technology (Data Compaction, Cryptography, Polynomial Coding) for engineers.

Genres: Mathematics

449 pages, Hardcover

First published January 1, 2006