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Algorithmic Information Theory

Name: Algorithmic Information Theory
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642069789
Price: 157.67 EUR
Availability: InStock

Mathematics of Digital Information Processing

Автор: Peter Seibt

Език:

Корици: С меки корици

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

Наличност: Външен склад

Изпращаме след 5-8 дни

157.67 € 308.37 лв

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

Информация за книгата

Автор

Peter Seibt

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

443

EAN

9783642069789

ISBN

3642069789

Enbook ID

01652161

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

688

Размери

155 x 235 x 23

Пълно описание

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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