Algorithmic information theory : mathematics of digital information

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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Detaylı Bibliyografya
Yazar: Seibt, Peter
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2006.
Seri Bilgileri:Signals and Communication Technology
Konular:
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Description d'après consultation du 02 mars 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Algorithmic information theory, mathematics of digital information processing, Peter Seibt, 2006, Berlin, Springer, 1 vol. (VI-442 p.), Signals and communication technology, 3-540-33218-9
• Algorithmic Information Theory, Texte imprimé, 9783540822240
• Algorithmic Information Theory, Texte imprimé, 9783642069789
• Algorithmic information theory, mathematics of digital information processing, Peter Seibt, 2006, Berlin, Springer, 1 vol. (VI-442 p.), Signals and communication technology, 3-540-33218-9
İçindekiler:
  • Data Compaction Cryptography Information Theory and Signal Theory: Sampling and Reconstruction Error Control Codes Data Reduction: Lossy Compression