Introduction to Information Theory and Data Compression (Applied Mathematics) - Tapa blanda

Libro 3 de 7: Applied Mathematics

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

 
9780367395438: Introduction to Information Theory and Data Compression (Applied Mathematics)
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ISBN 10: 0367395436 ISBN 13: 9780367395438
Editorial: Chapman and Hall/CRC, 2019

Sinopsis

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

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    Acerca del autor

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

    "Sobre este título" puede pertenecer a otra edición de este libro.

    Editorial
    Chapman and Hall/CRC
    Año de publicación
    2019
    Idioma
    Inglés
    ISBN 10 
    0367395436
    ISBN 13 
    9780367395438
    Encuadernación
    Tapa blanda
    Número de edición
    2
    Número de páginas
    384
    Contacto del fabricante
    Taylor and Francis, GPSR Taylor and Francis
    gpsr@taylorandfrancis.com

    Taylor & Francis Verlag GmbH, Kaufingerstraße 24
    München
    80331
    Alemania

    Otras ediciones populares con el mismo título

    9781584883135: Introduction to Information Theory and Data Compression (Applied Mathematics)

    Edición Destacada

    ISBN 10:  1584883138 ISBN 13:  9781584883135
    Editorial: Chapman and Hall/CRC, 2003
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