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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
Table of Contents:
  • Data Compaction
  • Cryptography
  • Information Theory and Signal Theory: Sampling and Reconstruction
  • Error Control Codes
  • Data Reduction: Lossy Compression

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