• DocumentCode
    3611956
  • Title

    Approximate affine linear relationship between L1 norm objective functional values and L2 norm constraint bounds

  • Author

    Zhijing Yang ; Bingo Wing-Kuen Ling ; Bingham, Chris

  • Author_Institution
    Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • Volume
    9
  • Issue
    9
  • fYear
    2015
  • Firstpage
    670
  • Lastpage
    680
  • Abstract
    For an optimisation problem with an L1 norm objective function subject to an L2 norm inequality constraint, this study shows that there is an approximately linear relationship between the L1 norm objective functional values and the L2 norm specifications. This relationship is verified through the use of random and real world industrial data. The obtained results can be employed for (i) estimating the L1 norm objective functional value without solving the optimisation problem numerically; (ii) providing an insight for defining the L2 norm specification in which a simple method is proposed in this study; and (iii) testing whether the obtained solutions are the globally optimal solutions or not. These advantages are demonstrated via the use of random data.
  • Keywords
    compressed sensing; linear programming; signal representation; L1 norm objective functional value; L2 norm constraint bound; approximate affine linear relationship; optimisation problem; sparse signal representation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2014.0402
  • Filename
    7348910