• DocumentCode
    3757941
  • Title

    Identifiability and Noise Robustness for l1-Analysis Regularizations in Compressive Sensing

  • Author

    Nicod?me ;Turcu Flavius;Dossal Charles

  • Author_Institution
    Univ. de Bordeaux, Bordeaux, France
  • fYear
    2015
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    We use several geometric techniques to characterize identifiability and to estimate noise robustness in the framework of l1-analysis regularization. This extends several recent theoretical results and algorithms that deal with the same issues in the less complex case of l1-synthesis regularizations.
  • Keywords
    "Standards","Noise robustness","Noise measurement","Transforms","Algorithm design and analysis","Robustness","Compressed sensing"
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015 17th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SYNASC.2015.21
  • Filename
    7426065
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3757941