- X : array-like, shape (n_epochs, n_channels, n_times)
The time series data consisting of n_epochs separate observations
of signals with n_channels time-series of length n_times.
- sfreq : float
Sampling frequency of observations.
- frequencies : list of float
The frequencies of interest, in Hertz.
- t0 : float
Time of the first sample relative to the onset of the epoch, in
seconds. Defaults to 0.
- tmin : float | None
Minimum time instant to consider, in seconds. If None
start at
first sample.
- tmax : float | None
Maximum time instant to consider, in seconds. If None
end at last
sample.
- ch_names : list of str | None
A name for each time series. If None
(the default), the series will
be named ‘SERIES###’.
- n_cycles: float | list of float | None
Number of cycles to use when constructing Morlet wavelets. Fixed number
or one per frequency. Defaults to 7.
- use_fft : bool
Whether to use FFT-based convolution to compute the wavelet transform.
Defaults to True.
- decim : int | slice
To reduce memory usage, decimation factor during time-frequency
decomposition. Defaults to 1 (no decimation).
If int, uses tfr[…, ::decim].
If slice, uses tfr[…, decim].
- projs : list of Projection | None
List of projectors to store in the CSD object. Defaults to None
,
which means the projectors defined in the Epochs object will be copied.
- n_jobs : int
Number of jobs to run in parallel. Defaults to 1.
- verbose : bool | str | int | None
If not None
, override default verbose level
(see mne.verbose()
and Logging documentation
for more).