eelbrain.cwt_morlet¶

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)

Parameters:

y : NDVar with time dimension: Signal.
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.

Returns: