Multiple-window cepstrum analysis for estimation of periodicity

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Abstract

Multiple windows have been used in spectrum analysis to reduce variance. In this paper, a multiple-window approach is suggested in cepstrum analysis, where the period of the system response should be estimated. The logarithm of the spectrum as well as the liftering are approximated by a division of two multiple-window spectra. The method is useful especially in the case of short periods of the periodic signal and large spectral dynamics of the other signal, i.e., the case with severe overlap in the cepstrum. Examples are given for estimation of periods of surface waves traveling around the circumference of tree trunks.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • real-valued cepstrum, homomorphic deconvolution, multiple-window spectrum analysis
Original languageEnglish
Pages (from-to)474-481
JournalIEEE Transactions on Signal Processing
Volume55
Issue number2
StatePublished - 2007
Peer-reviewedYes