• DocumentCode
    1881594
  • Title

    Estimating the number of sinusoids in non-Gaussian noise using cumulants

  • Author

    Rao, Satyanarayan S. ; Vaidyanathan, Chandra

  • Author_Institution
    Dept. of Electr. Eng., Villanova Univ., PA, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3469
  • Abstract
    The problem of determining the dominant singular values of a cumulant matrix is considered. A criterion for rank determination which is quite general and can be used for any matrix is presented. The problem addressed is important due to the surge of new techniques in the cumulant domain, most of which require knowledge of the rank of the matrix. The criterion performs reasonably well under high and low signal-to-noise ratio conditions
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; noise; spectral analysis; cumulant matrix; cumulants; nonGaussian noise; number of sinusoids; rank determination; singular value decomposition; spectral estimation; Additive noise; Autocorrelation; Degradation; Equations; Estimation error; Gaussian noise; Information analysis; Random variables; Signal resolution; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150201
  • Filename
    150201