Peter Seibt

Algorithmic Information Theory (eBook, PDF)

Mathematics of Digital Information Processing

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 443
• Erscheinungstermin: 15. Februar 2007
• Englisch
• ISBN-13: 9783540332190
• Artikelnr.: 37372426

Autorenporträt

Peter Seibt, geboren 1935, ist Maler und Unternehmensberater. Als solcher kennt er alle Tricks aus der Praxis. Er lebt in Paros, Griechenland.

Inhaltsangabe

Data Compaction.- Cryptography.- Information Theory and Signal Theory: Sampling and Reconstruction.- Error Control Codes.- Data Reduction: Lossy Compression.

Rezensionen

From the reviews: "This book, consisting of five chapters, deals with information processing. ... The format of chapters ... is very good. ... It is very readable and provides a valuable source about information processing. This is a good book on the subject ... . it is a welcome addition." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1136 (14), 2008)