• DocumentCode
    876061
  • Title

    Time-domain cepstral transformations

  • Author

    Sokolov, Radomir T. ; Rogers, James C.

  • Author_Institution
    Michigan Technol. Univ., Houghton, MI, USA
  • Volume
    41
  • Issue
    3
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    1161
  • Lastpage
    1169
  • Abstract
    The realization of homomorphic systems for convolution is addressed, motivated by the limitations of the Fourier-transform-based method commonly used in homomorphic (complex cepstral) filtering. The time-domain cepstral transformation (TDCT) method, which is entirely based on time-domain calculations, thus avoiding or minimizing the problems associated with the FT method, is introduced. Explicit transformations of an ordinary mixed-phase time sequence (belonging to convolution space) into its complex cepstrum time sequence (belonging to additive cepstrum vector space) and vice versa are derived. The method does not require unwrapped phase calculations, and no specific windows are used to precondition the signal in order to produce a more accurate representation of the complex cepstrum. It trades reduced computational efficiency for improved performance. Examples comparing Fourier-based and TD cepstrum transformations are presented
  • Keywords
    spectral analysis; time series; time-domain analysis; transforms; TDCT; complex cepstrum time sequence; convolution; homomorphic systems; ordinary mixed-phase time sequence; realization; time-domain cepstral transformation; Cepstral analysis; Cepstrum; Computational efficiency; Convolution; Deconvolution; Filtering; Fourier transforms; Signal to noise ratio; Speech analysis; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.205721
  • Filename
    205721