• DocumentCode
    2532339
  • Title

    Notice of Violation of IEEE Publication Principles
    Reproducible research in various facets of signal processing

  • Author

    Hussain, D. ; Ather, S.

  • Author_Institution
    P.E.S. Coll. of Eng., Aurangabad, India
  • fYear
    2009
  • fDate
    14-16 March 2009
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    Notice of Violation of IEEE Publication Principles

    "Reproducible Research in Various Facets of Signal Processing"
    by D. Hussain, S. Ather
    in the Proceedings of the International Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT \´09, pp. 64-68

    After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

    This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

    Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

    "Experiences with Reproducible Research in Various Facets of Signal Processing Research,"
    by P. Vandewalle, G. Barrenetxea, I. Jovanovic, A. Ridolfi, M. Vetterli
    in the Proceedings of the International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. Volume: 4, page(s): IV-1253-IV-1256

    How often have you been able to implement an algorithm as it is described in a paper? And when you did, were you confident that you had exactly the same parameter values and results as the authors of the paper? All too often, articles do not describe all the details of an algorithm and thus prohibit an implementation by someone else. In this paper, we describe reproducible research, a paradigm to allow other people to reproduce with minimal effort the results that have been obtained. We discuss both the reproducibility of data and algorithms, and give examples for each of them. The effort required to make research reproducible is compensated by a higher visibility and impact of the results.
  • Keywords
    signal processing; algorithm reproducibility; data reproducibility; signal processing; Documentation; Investments; Linux; Notice of Violation; Open source software; Reproducibility of results; Signal processing; Signal processing algorithms; open source software; publishing; reproducible research; source code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
  • Conference_Location
    Aligarh
  • Print_ISBN
    978-1-4244-3602-6
  • Type

    conf

  • DOI
    10.1109/MSPCT.2009.5164175
  • Filename
    5164175