pymodalib.algorithms.coherence module¶

Wavelet phase coherence.

tlphcoh(wt1: numpy.ndarray, wt2: numpy.ndarray, freq: numpy.ndarray, fs: float, wsize: int = 10) → numpy.ndarray¶

Time-localized phase coherence.

Parameters:	wt1 (ndarray) – [2D array, complex] Wavelet transform of the first signal. wt2 (ndarray) – [2D array, complex] Wavelet transform of the second signal. Must be the same shape as wt1. freq (ndarray) – [1D array] Frequencies at which the wavelet transforms wt1 and wt2 were calculated. fs (float) – Sampling frequency of the signals. wsize (int, optional) – (Default value = 10) The window size.
Returns:	tpc – [2D array] The time-localized wavelet phase coherence.
Return type:	ndarray

wphcoh(wt1: numpy.ndarray, wt2: numpy.ndarray) → Tuple[numpy.ndarray, numpy.ndarray]¶

Time-averaged wavelet phase coherence.

Parameters:

wt1 (ndarray) – [2D array, complex] Wavelet transform of the first signal.
wt2 (ndarray) – [2D array, complex] Wavelet transform of the second signal.

Returns: