• DocumentCode
    1022157
  • Title

    An ESPRIT-like method for quadratic phase coupling estimation

  • Author

    Parthasarathy, Harish ; Prasad, Surendra ; Joshi, Shiv Dutt

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
  • Volume
    43
  • Issue
    10
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    2346
  • Lastpage
    2360
  • Abstract
    Two algorithms are proposed for estimating the quadratically coupled frequency pairs (QC pairs) in a signal consisting of complex sinusoids in white noise. Three matrices are constructed from the complex third-order cumulants of the noisy signal, the second and third being time shifted versions of the first. The list of coupled frequencies is obtained from the rank reducing numbers of the matrix pencil formed from the first matrix and either of the latter two. The first algorithm then pairs these components by relating quadratic coupling to the intersection of generalized eigenspaces corresponding to two of these frequencies. The coupling strengths are also obtained in terms of generalized eigenvectors in this intersection space. The second algorithm constructs a two-parameter matrix pencil using all the three matrices. The rank reducing pairs of this pencil on the unit circle yield the QC pairs and the associated generalized eigenvectors: the coupling strengths
  • Keywords
    eigenvalues and eigenfunctions; frequency estimation; higher order statistics; matrix algebra; phase estimation; signal processing; white noise; ESPRIT-like method; QC pairs; complex sinusoids; complex third-order cumulants; coupling strengths; generalized eigenspaces; generalized eigenvectors; intersection space; matrix pencil; noisy signal; phase coupling estimation; quadratically coupled frequency pairs; rank reducing numbers; rank reducing pairs; two-parameter matrix pencil; white noise; Biomedical signal processing; Data analysis; Electroencephalography; Frequency estimation; Gaussian noise; Information analysis; Phase estimation; Signal analysis; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.469855
  • Filename
    469855