• DocumentCode
    3727007
  • Title

    The analysis of missing samples in signals sparse in the hermite transform domain

  • Author

    Milo? Brajovi?;Irena Orovi?;Milo? Dakovi?;Sr?an Stankovi?

  • Author_Institution
    University of Montenegro, Faculty of Electrical Engineering, Dzordza Vasingtona bb, 81000 Podgorica, Montenegro
  • fYear
    2015
  • Firstpage
    384
  • Lastpage
    387
  • Abstract
    The influence of missing samples in signals which exhibit sparsity in the domain of Hermite transform is analyzed. The study provides theoretical concepts for the efficient reconstruction of the signals with missing samples. Single component signals are analyzed, and the main results guarantee further generalization of the presented concepts to the case of multicomponent signals. The theoretical contributions are confirmed through several numerical examples.
  • Keywords
    "Random variables","Transforms","Matching pursuit algorithms","Histograms","Compressed sensing","Signal processing algorithms","Gaussian distribution"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2015 23rd
  • Type

    conf

  • DOI
    10.1109/TELFOR.2015.7377489
  • Filename
    7377489
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3727007