• DocumentCode
    2323953
  • Title

    A new iterative reconstruction scheme for signal reconstruction

  • Author

    Huang, Honglin ; Makur, Anamitra

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    336
  • Lastpage
    339
  • Abstract
    Projection Onto Convex Sets (POCS) is an iterative method to obtain the information from one domain using the information available in other domains, and it has been widely used in image restoration problems and block-based DCT compression standards as a post-processing scheme. In this paper, we study an iterative signal reconstruction method for signal reconstruction and sparse signal compression. This method is similar to POCS method. From known partial time-domain samples and partial frequency-domain coefficients, it iteratively projects the signal onto the known samplespsila subspaces and the known coefficientspsila subspaces. Finally the signal can recover closely by using this iterative reconstruction scheme. Some experiments show this method can correctly and effectively reconstruct the underlying signals.
  • Keywords
    data compression; discrete cosine transforms; image coding; image reconstruction; iterative methods; DCT compression standards; image restoration; iterative reconstruction scheme; partial frequency-domain coefficients; post-processing scheme; projection onto convex sets; signal reconstruction; sparse signal compression; Convergence; Decoding; Discrete cosine transforms; Hilbert space; Image coding; Image reconstruction; Image restoration; Iterative methods; Signal reconstruction; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746028
  • Filename
    4746028