• DocumentCode
    2606102
  • Title

    Blind system identification based on the complex cepstrum of the cyclic autocorrelation

  • Author

    Hatzinakos, Dimitrios

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    726
  • Abstract
    A new discrete-time method is proposed for blind identification of nonminimum phase systems. It is assumed that the system is driven by a cyclostationary independent and identically distributed (i.i.d.) process. The complex cepstrum of the cyclic autocorrelation of the system output is derived, and its properties are investigated. It is shown that this complex cepstrum can be utilized to correctly identify the magnitude and phase characteristics of the system. The analytical work is supported by computer simulations
  • Keywords
    cepstral analysis; correlation theory; identification; blind system identification; complex cepstrum; cyclic autocorrelation; discrete-time method; magnitude characteristics; nonminimum phase systems; phase characteristics; Additive noise; Autocorrelation; Cepstral analysis; Cepstrum; Deconvolution; Higher order statistics; Linear systems; Signal processing; Speech processing; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.393824
  • Filename
    393824