Storing and Transmitting Data

Rudolf Ahlswede’s Lectures on Information Theory 1

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

Part of the Foundations in Signal Processing, Communications and Networking book series (SIGNAL, volume 10)

Table of contents

  1. Front Matter
    Pages i-x
  2. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
    Pages 1-6
  3. Storing Data

    1. Front Matter
      Pages 7-7
    2. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 9-38
    3. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 39-78
    4. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 79-110
  4. Transmitting Data

    1. Front Matter
      Pages 111-111
    2. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 113-167
    3. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 169-214
    4. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 215-262
  5. Appendix

    1. Front Matter
      Pages 263-263
    2. Rudolf Ahlswede, Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm
      Pages 265-289
  6. Back Matter
    Pages 291-302

About this book

Introduction

The volume “Storing and Transmitting Data” is based on Rudolf Ahlswede's introductory course on "Information Theory I" and presents an introduction to Shannon Theory. Readers, familiar or unfamiliar with the technical intricacies of Information Theory, will benefit considerably from working through the book; especially Chapter VI with its lively comments and uncensored insider views from the world of science and research offers informative and revealing insights. This is the first of several volumes that will serve as a collected research documentation of Rudolf Ahlswede’s lectures on information theory. Each volume includes comments from an invited well-known expert. Holger Boche contributed his insights in the supplement of the present volume.

Classical information processing concerns the main tasks of gaining knowledge, storage, transmitting and hiding data. The first task is the prime goal of Statistics. For the two next, Shannon presented an impressive mathematical theory called Information Theory, which he based on probabilistic models. The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also in Theoretical Computer Science, Physics, and Electrical Engineering with background in basic Mathematics. The lectures can be used as the basis for courses or to supplement courses 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 the basis of entire research programs.

Keywords

94xx, 94Axx Rudolf Ahlswede data compression entropy function noiseless source coding rate distortion universal coding

Authors and affiliations

  • Rudolf Ahlswede
    • 1
  1. 1.Universität Bielefeld, Fakultät für MathematikBielefeldGermany

Editors and affiliations

  • Alexander Ahlswede
    • 1
  • Ingo Althöfer
    • 2
  • Christian Deppe
    • 3
  • Ulrich Tamm
    • 4
  1. 1.BielefeldGermany
  2. 2.Friedrich-Schiller UniversityJenaGermany
  3. 3.University of BielefeldBielefeldGermany
  4. 4.Bielefeld University of Applied SciencesBielefeldGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05479-7
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05478-0
  • Online ISBN 978-3-319-05479-7
  • Series Print ISSN 1863-8538
  • Series Online ISSN 1863-8546
  • About this book
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