• DocumentCode
    2266918
  • Title

    Missing data recovery using low rank matrix completion methods

  • Author

    Pillai, Unnikrishna ; Murthy, Vinay ; Selesnick, Ivan

  • Author_Institution
    Polytech. Inst. of NYU, Brooklyn, NY, USA
  • fYear
    2012
  • fDate
    7-11 May 2012
  • Abstract
    This paper presents a new method for data recovery exploiting low rank structure and convexity constraints. It is capable of handling arbitrary observation patterns and it can incorporate additional convex constraints such as non-negativity and finite bandwidth.
  • Keywords
    image resolution; matrix algebra; radar imaging; radar resolution; synthetic aperture radar; arbitrary observation patterns; convexity constraints; finite bandwidth; imaging platform; low-rank matrix completion method; missing data recovery; nonnegativity bandwidth; structured radar data recovery; synthetic aperture radar; Bandwidth; Data models; History; Motion pictures; Periodic structures; Reconstruction algorithms; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2012 IEEE
  • Conference_Location
    Atlanta, GA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-0656-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2012.6212119
  • Filename
    6212119
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2266918