• DocumentCode
    1744769
  • Title

    Harmonic retrieval in mixed non-Gaussian and gaussian ARMA noises using higher-order statistics

  • Author

    Li, Sheng-Hong ; Zhu, Hong-wen

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., China
  • Volume
    2
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    113
  • Abstract
    This paper proposes an approach to retrieve real harmonics with or without quadratic phase coupling in mixed arbitrarily distributed non-Gaussian and Gaussian ARMA noises. The real observations are first changed into their complex forms by Hilbert transform, then some kind of cumulant is used to identify the AR parameters of the non-Gaussian noise. After filtering the observations with the identified AR parameters, the harmonics are retrieved by cumulant based method. For the approach, simulation shows its performance
  • Keywords
    Gaussian noise; Hilbert transforms; autoregressive moving average processes; harmonics; higher order statistics; signal detection; AR parameters; Hilbert transform; complex forms; cumulant; harmonic retrieval; higher-order statistics; mixed nonGaussian/Gaussian ARMA noises; quadratic phase coupling; Additive noise; Brain modeling; Colored noise; Filtering; Gaussian noise; Higher order statistics; Noise cancellation; Parameter estimation; Phase noise; Power harmonic filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921019
  • Filename
    921019