The reassigned local polynomial periodogram and its properties
Signal Processing
Automatic voice onset time estimation from reassignment spectra
Speech Communication
Testing stationarity with surrogates: a time-frequency approach
IEEE Transactions on Signal Processing
Digital Signal Processing
Optimization of weighting factors for multiple window spectrogram of event-related potentials
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Anechoic Blind Source Separation Using Wigner Marginals
The Journal of Machine Learning Research
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Time-frequency analysis of signals using support adaptive Hermite-Gaussian expansions
Digital Signal Processing
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A method is proposed for obtaining time-frequency distributions of chirp signals embedded in nonstationary noise, with the two-fold objective of a sharp localization for the chirp components and a reduced level of statistical fluctuations for the noise. The technique consists in combining time-frequency reassignment with multitapering, and two variations are proposed. The first one, primarily aimed at nonstationary spectrum estimation, is based on sums of estimates with different tapers, whereas the second one makes use of differences between the same estimates for the sake of chirp enhancement. The principle of the technique is outlined, its implementation based on Hermite functions is justified and discussed, and some examples are provided for supporting the efficiency of the approach, both qualitatively and quantitatively