• DocumentCode
    2544485
  • Title

    A Compressed Sensing reconstruct algorithm based on trust region method of nonsmooth optimization

  • Author

    Dong Enming ; Li Jianping ; Liu Jinjie

  • Author_Institution
    Coll. of Sci., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1655
  • Lastpage
    1658
  • Abstract
    The signal reconstruction problems of Compressed Sensing is equal to a nonsmooth optimization problem. Since the original signal is sparse, a new l1 -Minimization reconstruction algorithm is proposed based on modified trust region method of nonsmooth optimization. The algorithm can also reconstruct signal in super-linear convergence rate. Simulation results show that the algorithm is robust in reconstructing the original signal.
  • Keywords
    optimisation; signal reconstruction; compressed sensing reconstruct algorithm; minimization reconstruction algorithm; modified trust region method; nonsmooth optimization problem; signal reconstruction problems; trust region method; Compressed sensing; Convergence; Image reconstruction; Optimization; Signal processing algorithms; Signal reconstruction; Transforms; compressed sensing; modified trust region method; nonsmooth optimization; reconstruction algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233910
  • Filename
    6233910
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2544485