• DocumentCode
    3636221
  • Title

    On the use of Kolmogorov structure function for periodogram smoothing

  • Author

    Ciprian Doru Giurcăneanu;Seyed Alireza Razavi

  • Author_Institution
    Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    3966
  • Lastpage
    3969
  • Abstract
    In a recent series of papers, it was shown how the periodogram can be smoothed by thresholding the estimated cepstral coefficients either with a carefully designed uniformly most powerful unbiased test (UMPUT), or with the Bayesian information criterion (BIC). In this paper, we devise a fully automatic scheme that selects the threshold by using the Kolmogorov structure function (KSF). For the numerical examples taken from the previous literature, the newly proposed method compares favorably with the existing schemes.
  • Keywords
    "Smoothing methods","Cepstral analysis","Signal processing","TV","Testing","Bayesian methods","Statistics","Time measurement","Frequency","Instruments"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495792
  • Filename
    5495792