• DocumentCode
    2304716
  • Title

    Blind Deconvolution for SISO Systems

  • Author

    Tuncer, T. Engin

  • Author_Institution
    Elektrik-Elecktronik Muhendisligi Bolumu, ODTU, Ankara
  • fYear
    2006
  • fDate
    17-19 April 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A deterministic solution is presented for the blind deconvolution of signals with symmetric or cyclic extensions. It is shown that nonlinear equations can be converted to a form where the input or the filter coefficients are found by using a closed form expression. This solution works for non-finite alphabet inputs in general. If the input is from a finite alphabet, the solution becomes significantly robust to noise in the samples. Proposed solution works independent from the input statistics and length and does not require any assumption on the input except the symmetric or cyclic extensions
  • Keywords
    deconvolution; filtering theory; nonlinear equations; signal sampling; SISO system; blind deconvolution; filter coefficient; nonfinite alphabet; nonlinear equation; Deconvolution; Filters; Hydrogen; Noise robustness; Nonlinear equations; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • Conference_Location
    Antalya
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659732
  • Filename
    1659732