mne.time_frequency.tfr.morlet¶
- mne.time_frequency.tfr.morlet(sfreq, freqs, n_cycles=7.0, sigma=None, zero_mean=False)[source]¶
Compute Morlet wavelets for the given frequency range.
- Parameters
- sfreq
float
The sampling Frequency.
- freqs
array
Frequency range of interest (1 x Frequencies).
- n_cycles
float
|array
offloat
, default 7.0 Number of cycles. Fixed number or one per frequency.
- sigma
float
, defaultNone
It controls the width of the wavelet ie its temporal resolution. If sigma is None the temporal resolution is adapted with the frequency like for all wavelet transform. The higher the frequency the shorter is the wavelet. If sigma is fixed the temporal resolution is fixed like for the short time Fourier transform and the number of oscillations increases with the frequency.
- zero_meanbool, default
False
Make sure the wavelet has a mean of zero.
- sfreq
- Returns