• DocumentCode
    3429782
  • Title

    Analysis of an information theoretic criterion for cepstral nulling

  • Author

    Giurcaneanu, C.D. ; Razavi, Seyed Ali

  • Author_Institution
    Dept. of Stat., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Cepstral nulling, one of the newest methods for smoothing the peri-odogram, amounts to turning to zero the cepstrum estimates whose magnitudes are smaller than a threshold. Up to now, the performance of various thresholding schemes was evaluated only empirically. In this paper, we analyze theoretically a slightly modified variant of a thresholding criterion which is based on Kolmogorov structure function (KSF). The motivation of this work is twofold: (i) KSF expression is more complicated than formulas of other criteria; (ii) KSF derivation relies on novel concepts from information theory which are not well-known in the signal processing community. We illustrate the theoretical results by numerical examples.
  • Keywords
    signal processing; KSF; Kolmogorov structure function; cepstral nulling; information theoretic criterion analysis; periodogram smoothing; signal processing community; thresholding criterion; thresholding schemes; Broadband communication; Cepstrum; Dynamic range; Mathematical model; Signal processing; Smoothing methods; Bayesian information criterion; Kol-mogorov structure function; Periodogram; cepstral nulling; uniformly most powerful unbiased test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625285
  • Filename
    6625285