Sentence examples for phase synchrony from inspiring English sources

First, an MEMD-based bivariate phase synchrony measure is defined for a more robust description of time-varying phase synchrony across frequencies.

Phase synchrony analysis is a useful measure of linear dependence between two stochastic signals.

These time-varying measures of phase synchrony using wavelet or HTs are similar in their results.

Some authors used HT to measure phase synchrony between two signals [37, 38, 40].

This interpretation justifies narrow-band filtering in the case of phase synchrony.

This is a very useful characteristic for cross-spectral and phase synchrony.

Although the wavelet and STFT-based phase synchrony approaches consider the nonstationarity issue, they suffer from a number of drawbacks.

Moreover, phase synchrony can be used for non-periodic and for chaotic signals such as EEG [8, 39].

Both give a sharper phase synchrony estimates over time and frequency, especially at the low frequency range [46].

Thus, the concept of phase synchrony helped to measure the synchrony evolution while the amplitude of the signals remained uncorrelated.

Some authors used wavelet-based approach to analyze phase synchrony between pairs of EEG signals [13, 43 45].