• DocumentCode
    3700056
  • Title

    Comparison of wavelet thresholding methods for industrial data compression

  • Author

    Anna Sztyber;Marcin Pobocha

  • Author_Institution
    Warsaw University of Technology, Faculty of Mechatronics, Institute of Automatic Control and Robotics, Boboli 8, 02-525 Warsaw, Poland
  • Volume
    1
  • fYear
    2015
  • Firstpage
    192
  • Lastpage
    197
  • Abstract
    Nowadays in industry, data acquisition system signals are often compressed by piecewise linear trending. Many authors have indicated that compression with use of a wavelet transform provides better results. In this paper, the threshold selection algorithms, such as VisuShrink, SureShrink, BayesShrink, and NeighCoeffs are compared experimentally using real industrial data from the Damadics benchmark. The impact of the compression on the decoded signal is analysed. The results of the calculations are compared with a standard piecewise linear trending approach.
  • Keywords
    "Wavelet transforms","Standards","Correlation","Data acquisition","Data compression","Compression algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
  • Print_ISBN
    978-1-4673-8359-2
  • Type

    conf

  • DOI
    10.1109/IDAACS.2015.7340727
  • Filename
    7340727
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3700056