• DocumentCode
    45402
  • Title

    Two-dimensional iterative adaptive approach for sparse matrix solution

  • Author

    Jahromi, Mohammad Jabbarian ; Kahaei, Mohammad Hossein

  • Author_Institution
    Sch. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • Volume
    50
  • Issue
    1
  • fYear
    2014
  • fDate
    January 2 2014
  • Firstpage
    45
  • Lastpage
    47
  • Abstract
    The two-dimensional iterative adaptive approach (2D IAA) algorithm which directly solves 2D sparse signal models is developed. Simulation results show that the 2D IAA achieves a much lower computational cost compared to its 1D version. Also, the 2D IAA has a better performance in sparse reconstruction compared to the spectral projected gradient for l1-norm minimisation and smoothed L0 algorithms.
  • Keywords
    iterative methods; matrix algebra; signal processing; 2D IAA algorithm; 2D sparse signal models; l1-norm minimisation; smoothed L0 algorithms; sparse matrix solution; sparse reconstruction; spectral projected gradient; two-dimensional iterative adaptive approach algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.2159
  • Filename
    6698951
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=45402