• DocumentCode
    3420424
  • Title

    A modified clean algorithm does L1-denoising

  • Author

    Solo, Victor

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3665
  • Lastpage
    3668
  • Abstract
    The CLEAN algorithm is one of the best known signal processing algorithms in (radio-)astronomy. It is essentially a deconvolution procedure and is used e.g. to reconstruct a sparse (star) brightness distribution from noisy (´dirty´ - hence ´cleaning´) observed data. In this paper we make a connection for the first time between CLEAN and l1-denoising. We show CLEAN does a crude version of l1-denoising and develop a modified algorithm with much improved behaviour.
  • Keywords
    deconvolution; radioastronomical techniques; signal denoising; deconvolution procedure; l1-denoising; modified CLEAN algorithm; radio-astronomy; signal processing algorithms; sparse star brightness distribution; Australia; Convergence; Deconvolution; Estimation; Image processing; Image reconstruction; Iterative algorithms; Least squares methods; Linear regression; Signal processing algorithms; CLEAN; estimation; l1 denoising; sparse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518447
  • Filename
    4518447
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3420424