• DocumentCode
    682726
  • Title

    Rewighted L1-minimization for sparse solutions to underdetermined linear systems

  • Author

    Zhengguang Xie ; Jianping Hu

  • Author_Institution
    Sch. of Electron. & Inf., Nantong Univ., Nantong, China
  • Volume
    03
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1660
  • Lastpage
    1664
  • Abstract
    We proposed a simple and efficient iteratively reweighted algorithm with iterative support set to improve the recover performance for compressive sensing (CS). The numerical experiential results demonstrate that the new method outperforms in successful probabilities, compared with classical l1 -minimization and other iteratively reweighted l1 -algorithms.
  • Keywords
    compressed sensing; iterative methods; linear systems; minimisation; CS; compressive sensing; iterative support set; iteratively reweighted algorithm; recover performance; reweighted l1 -algorithms; reweighted l1-minimization; sparse solutions; underdetermined linear systems; Algorithm design and analysis; Compressed sensing; Educational institutions; Linear systems; Minimization; Signal processing; Signal processing algorithms; Compressive sensing; Merit function; Reweighted algorithm; Support set; l1 -Minimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6743943
  • Filename
    6743943
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=682726