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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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Seibt, Peter (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Édition:1st ed. 2006.
Collection:Signals and Communication Technology,
Sujets:
Algorithms.
Engineering mathematics.
Engineering-Data processing.
Dynamics.
Nonlinear theories.
Coding theory.
Information theory.
Signal processing.
Computer science-Mathematics.
Discrete mathematics.
Mathematical and Computational Engineering Applications.
Applied Dynamical Systems.
Coding and Information Theory.
Signal, Speech and Image Processing .
Discrete Mathematics in Computer Science.
Accès en ligne:Texto Completo
Table des matières:
  • Data Compaction
  • Cryptography
  • Information Theory and Signal Theory: Sampling and Reconstruction
  • Error Control Codes
  • Data Reduction: Lossy Compression.

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