Probabilistic methods and distributed information

著者

    • Ahlswede, Rudolf
    • Ahlswede, Alexander
    • Althöfer, Ingo
    • Deppe, Christian
    • Tamm, Ulrich

書誌事項

Probabilistic methods and distributed information

Rudolf Ahlswede ; edited by Alexander Ahlswede ... [et al.]

(Foundations in signal processing, communications and networking / series editors: W. Utschick, H. Boche, R. Mathar, v. 15 . Rudolf Ahlswede's lectures on information theory ; 5)

Springer, c2019

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注記

Other editors: Ingo Althöfer, Christian Deppe, Ulrich Tamm

Includes bibliographical references and indexes

内容説明・目次

内容説明

The fifth volume of Rudolf Ahlswede's lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. One of the highlights of the entire lecture note series is surely Part I of this volume on arbitrarily varying channels (AVC), a subject in which Ahlswede was probably the world's leading expert. Appended to Part I is a survey by Holger Boche and Ahmed Mansour on recent results concerning AVC and arbitrarily varying wiretap channels (AVWC). After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information. This Part includes discussions on a variety of related topics; among them let us emphasize two which are famously associated with Ahlswede: "multiple descriptions", on which he produced some of the best research worldwide, and "network coding", which had Ahlswede among the authors of its pioneering paper. The final Part IV on "Statistical Inference under Communication constraints" is mainly based on Ahlswede's joint paper with Imre Csiszar, which received the Best Paper Award of the IEEE Information Theory Society. The lectures presented in this work, which consists of 10 volumes, are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used either as the basis for courses or to supplement them in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.

目次

Words and Introduction of the Editors.- Preface.- Arbitrarily Varying Channels.- Continuous Data Compression.- Distributed Information.- Statistical Inference under Communication Constraints.- Appendix.- Remembering Rudolf Ahlswede.- Comments by Ulrich Krengel.- Subject Index.- Name Index.

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詳細情報

  • NII書誌ID(NCID)
    BC0914291X
  • ISBN
    • 9783030003104
  • LCCN
    2018955715
  • 出版国コード
    sz
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    [Cham]
  • ページ数/冊数
    xviii, 581 p.
  • 大きさ
    25 cm
  • 親書誌ID
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