• DocumentCode
    2172226
  • Title

    Focuss is a convex-concave procedure

  • Author

    Hyder, Md Mashud ; Mahata, Kaushik

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    4216
  • Lastpage
    4219
  • Abstract
    We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component of the Hessian matrix. This motivates an improved implementation of FOCUSS.
  • Keywords
    Hessian matrices; concave programming; convex programming; signal processing; FOCUSS; Hessian matrix; Newton-like decent direction; convex-concave procedure; sparse signal recovery approach; Equations; Image reconstruction; Iterative methods; Matching pursuit algorithms; Noise; Noise measurement; Signal processing algorithms; FOCUSS; convex-concave; sparse recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947283
  • Filename
    5947283
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2172226