Algorithmic Information Theory

Name: Algorithmic Information Theory
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642069789
Price: 829.14 RON
Availability: InStock

Mathematics of Digital Information Processing

Autor: Peter Seibt

Limbă:

Legare: Carte broșată

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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Algorithmic Information Theory treats the mathematics of many important areas in digital information...

Informații despre carte

Autor

Peter Seibt

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

443

EAN

9783642069789

ISBN

3642069789

Enbook ID

01652161

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

688

Dimensiuni

155 x 235 x 23

Descriere completă

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.

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Algorithmic Information Theory

Mathematics of Digital Information Processing

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