Introduction to Information Theory and Data Compression - Couverture rigide

Livre 3 sur 7: Applied Mathematics

Johnson Jr., Peter D.; Harris, Greg A.; Hankerson, D.C.

 
9781584883135: Introduction to Information Theory and Data Compression
Couverture rigide
ISBN 10 : 1584883138 ISBN 13 : 9781584883135
Editeur : Chapman & Hall/CRC, 2003

Synopsis

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory.

The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources.

The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs, either in the text or in the exercises, so instructors can, if they choose, place more emphasis on the mathematics.

Introduction to Information Theory and Data Compression, Second Edition is ideally suited for an upper-level or graduate course for students in mathematics, engineering, and computer science.

Features:

  • Expanded discussion of the historical and theoretical basis of information theory that builds a firm, intuitive grasp of the subject
  • Reorganization of theoretical results along with new exercises, ranging from the routine to the more difficult, that reinforce students' ability to apply the definitions and results in specific situations.
  • Simplified treatment of the algorithm(s) of Gallager and Knuth
  • Discussion of the information rate of a code and the trade-off between error correction and information rate
  • Treatment of probabilistic finite state source automata, including basic resul

    • Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l?auteur

    Johnson, Jr.; Harris, Greg A.; Hankerson, D.C.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman & Hall/CRC
    Date d'édition
    2003
    Langue
    anglais
    ISBN 10 
    1584883138
    ISBN 13 
    9781584883135
    Reliure
    Relié
    Numéro d'édition
    2
    Nombre de pages
    378
    Coordonnées du fabricant
    non disponible
    Personne responsable
    non disponible

    Autres éditions populaires du même titre

    9780367395438: Introduction to Information Theory and Data Compression

    Edition présentée

    ISBN 10 :  0367395436 ISBN 13 :  9780367395438
    Editeur : Chapman and Hall/CRC, 2019
    Couverture souple