• DocumentCode
    3254755
  • Title

    Using the coefficient of variation to improve the sparsity of seismic data

  • Author

    Al-Marzouqi, Hasan ; AlRegib, Ghassan

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol. Atlanta, Atlanta, GA, USA
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    630
  • Lastpage
    630
  • Abstract
    In this work we propose using the coefficient of variation as a cost function to improve seismic data representation in the curvelet domain. Performance improvement is demonstrated in denoising and compressed sensing data recovery. The demonstrated approach can be extended to other seismic applications and alternate transforms.
  • Keywords
    geophysical techniques; seismology; alternate transforms; compressed sensing data recovery; cost function; curvelet domain; seismic applications; seismic data representation; seismic data sparsity; variation coefficient; Cost function; Entropy; Indexes; Noise reduction; Seismic measurements; Transforms; Compressed Sensing; Curvelet; Sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736967
  • Filename
    6736967
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3254755