• DocumentCode
    966065
  • Title

    Estimating the Number of Harmonics Using Enhanced Matrix

  • Author

    Yang, Shiyong ; Li, Hongwei

  • Author_Institution
    Sch. of Math. & Phys., China Univ. of Geosciences, Wuhan
  • Volume
    14
  • Issue
    2
  • fYear
    2007
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    In this letter, we present a new method for estimating the number of harmonics in colored noise using enhanced matrix. We construct an enhanced matrix from the data samples and then analyze the eigenvalues of the covariance matrix of enhanced matrix. The number of harmonics is inherent with the eigenvalues, and it can be estimated using the special property of the eigenvalues. The presented method does not assume the distribution and color of the additive noise. Simulation results are provided to verify the effectiveness of the presented method
  • Keywords
    covariance matrices; eigenvalues and eigenfunctions; harmonic analysis; signal sampling; colored noise; covariance matrix; data samples; eigenvalues; harmonics estimation; Additive noise; Colored noise; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Frequency estimation; Helium; Narrowband; Signal processing; Speech processing; Colored noise; eigenvalue; enhanced matrix; harmonic retrieval; number of harmonics;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2006.882095
  • Filename
    4063372