coherence

gwpy.signal.spectral.coherence(

timeseries: TimeSeries,

other: TimeSeries,

segmentlength: int,

downsample: bool | None = None,

noverlap: int | None = None,

**kwargs,

) → FrequencySeries

Calculate the coherence between two TimeSeries using Welch’s method.

Parameters:

timeseriesTimeSeries

Time-series of data.

otherTimeSeries

Time-series of data.

segmentlengthint

Number of samples in single average..

noverlapint

Number of samples to overlap between segments, defaults to 50%.

downsamplebool

Downsample the series with higher sampling frequency? SciPy assumes that both TimeSeries have the same rate.

kwargs

Other keyword arguments are passed to scipy.signal.coherence().

Returns:

spectrumFrequencySeries

Average power FrequencySeries.

See also

scipy.signal.coherence