%0 Villanova Faculty Authorship
%A Amin, Moeness G.
%D 1992
%G English
%T Spectral decomposition of time-frequency distribution kernels.
%U http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173663
%X It is shown that the singular-value decomposition (SVD) of the time-frequency (t-f) kernels allows the expression of the time-frequency distributions in terms of weighted sum of smoothed pseudo Winger-Ville distributions or modified periodograms, which are the two basic nonparametric power distributions for stationary and nonstationary signals, respectively. The windows appearing in the decomposition take zero and/or negative values and, therefore, are different than the time and lag windows commonly employed by these two distributions. The decomposition windows can be data-dependent or fixed, depending on whether the interest is to approximate the t-f distribution for a given data record, or for a Gaussian stationary white noise process [1].