eelbrain.cwt_morlet(y, freqs, use_fft=True, n_cycles=3.0, zero_mean=False, out='magnitude', decim=1)

Time frequency decomposition with Morlet wavelets (mne-python)

y : NDVar with time dimension


freqs : scalar | array

Frequency/ies of interest. For a scalar, the output will not contain a frequency dimension.

use_fft : bool

Compute convolution with FFT or temporal convolution.

n_cycles: float | array of float

Number of cycles. Fixed number or one per frequency.

zero_mean : bool

Make sure the wavelets are zero mean.

out : ‘complex’ | ‘magnitude’

Format of the data in the returned NDVar.

tfr : NDVar

Time frequency decompositions.