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- W2541255666 abstract "Quantifying the pairwise relationships between two signals is an important problem in many fields of science and engineering. Phase synchrony has been suggested as a powerful tool for determining bivariate signal relationships. Recently, a nonparametric phase estimation method based on the Rihaczek distribution belonging to Cohen's class of time-frequency distributions (TFDs) has been proposed for the estimation of time-varying phase [1]. Alternatively, parametric time-frequency methods, which model the phase as a polynomial, can be used. In this paper, the nonparametric phase estimator based on the Rihaczek distribution is compared with the parametric estimator based on the high-order ambiguity function for their accuracy in estimating phase synchrony." @default.
- W2541255666 created "2016-11-04" @default.
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- W2541255666 date "2010-11-01" @default.
- W2541255666 modified "2023-09-26" @default.
- W2541255666 title "Comparison of nonparametric and parametric time-varying methods for quantifying phase synchrony" @default.
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- W2541255666 doi "https://doi.org/10.1109/acssc.2010.5757889" @default.
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