• DocumentCode
    294715
  • Title

    An unified prefiltering-based approach to harmonic retrieval in non-Gaussian ARMA noise

  • Author

    Liang, Ymg-Chang ; Zhang, Xian-Da ; Li, Yan-Da

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    1633
  • Abstract
    The paper addresses the harmonic retrieval problem in colored noise. As contrasted to the reported studies in which Gaussian noise was assumed, the present paper concentrates on additive non-Gaussian ARMA noise. The authors propose a unified prefiltering-based approach to this problem. The approach is hybrid in the sense that 3rd-order cumulants are first used to identify the AR part of the non-Gaussian noise process, and then correlation-based high resolution methods may be used for the filtered output process to estimate the parameters of harmonics. Simulation examples are presented to demonstrate the high resolution of this approach
  • Keywords
    Gaussian noise; autoregressive moving average processes; correlation methods; filtering theory; harmonic analysis; higher order statistics; interference (signal); parameter estimation; signal resolution; 3rd-order cumulants; AR component; additive nonGaussian ARMA noise; colored noise; correlation-based high resolution methods; filtered output process; harmonic retrieval; nonGaussian ARMA noise; unified prefiltering-based approach; Additive noise; Automation; Colored noise; Frequency estimation; Gaussian noise; Music information retrieval; Parameter estimation; Power harmonic filters; Signal to noise ratio; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479884
  • Filename
    479884