• DocumentCode
    832999
  • Title

    Smoothed nonparametric spectral estimation via cepsturm thresholding - Introduction of a method for smoothed nonparametric spectral estimation

  • Author

    Stoica, Petre ; Sandgren, Niclas

  • Author_Institution
    Dept. of Inf. Technol., Uppsala Univ.
  • Volume
    23
  • Issue
    6
  • fYear
    2006
  • Firstpage
    34
  • Lastpage
    45
  • Abstract
    Cepstrum thresholding is shown to be an effective, automatic way of obtaining a smoothed nonparametric estimate of the spectrum of a stationary signal. In the process of introducing the cepstrum thresholding-based spectral estimator, we discuss a number of results on the cepstrum of a stationary signal, which might also be of interest to researchers in spectral analysis and allied topics, such as speech processing
  • Keywords
    cepstral analysis; smoothing methods; cepstrum thresholding; smoothed nonparametric spectral estimation; spectral analysis; speech processing; stationary signal; Cepstrum; Covariance matrix; Fast Fourier transforms; Frequency domain analysis; Guidelines; Signal processing; Signal processing algorithms; Smoothing methods; Spectral analysis; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/SP-M.2006.248710
  • Filename
    4015563
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=832999