Title :
Multiple-Window Cepstrum Analysis for Estimation of Periodicity
Author :
Hansson-Sandsten, Maria ; Axmon, Joakim
Author_Institution :
Centre for Math. Sci., Math. Stat., Lund Univ.
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
Keywords :
cepstral analysis; signal processing; multiple-window cepstrum analysis; multiple-window spectra; periodic signal; periodicity estimation; spectral dynamics; spectrum analysis; Analysis of variance; Cepstral analysis; Cepstrum; Deconvolution; Fourier transforms; Performance analysis; Signal analysis; Signal processing; Signal synthesis; Surface waves; Homomorphic deconvolution; multiple-window spectrum analysis; real-valued cepstrum;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.885759