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
tfr – Time frequency decompositions.
- Return type