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Book synopsis

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.This book treats the Mathematics of many important areas in digital information processing. §It covers, in a unified presentation, five topics: Data Compression, Cryptography, Sampling (Signal Theory), Error Control Codes, Data Reduction. The thematic choices are practice-oriented. So, the important final part of the book deals with the Discrete Cosine Transform and the Discrete Wavelet Transform, acting in image compression. The presentation is dense, the examples and numerous exercises are concrete. The pedagogic architecture follows increasing mathematical complexity. A read-and-learn book on Concrete Mathematics, for teachers, students and practitioners in Electronic Engineering, Computer Science and Mathematics.

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Information theory

• Full title: Algorithmic Information Theory
• Subtitle: Mathematics of Digital Information Processing
• Author: Peter Seibt
• Language: English
• Binding: Paperback
• Number of pages: 443
• EAN: 9783642069789
• ISBN: 3642069789
• ID: 01652161
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 688 g
• Dimensions: 235 × 155 × 23 mm
• Date of publishing: 29. November 2010

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