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Algorithmic Information Theory Mathematics of Digital Information Processing

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...

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Bibliographic Details
Main Author: Seibt, Peter
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Series:Signals and Communication Technology
Subjects:
Coding And Information Theory
Coding Theory
Engineering Mathematics
Computer Science / Mathematics
Discrete Mathematics In Computer Science
Applied Dynamical Systems
Algorithms
Signal, Speech And Image Processing
Information Theory
Nonlinear Theories
Engineering / Data Processing
Discrete Mathematics
Signal Processing
Mathematical And Computational Engineering Applications
Dynamics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:VI, 443 p online resource
ISBN:9783540332190

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