tensorpac.signals.pac_signals_wavelet

tensorpac.signals.pac_signals_wavelet(f_pha=10.0, f_amp=100.0, sf=1024.0, n_times=4000.0, n_epochs=10, noise=0.1, pp=0.0, rnd_state=0)

Generate artificially phase-amplitude coupled signals using wavelets.

This function is inspired by the code of the pactools toolbox developped by Tom Dupre la Tour [7].

Parameters

f_phafloat | 10.

Frequency for phase. Use either a float number for a centered frequency of a band (like [5, 7]) for a bandwidth.

f_ampfloat | 100.

Frequency for amplitude. Use either a float number for a centered frequency of a band (like [60, 80]) for a bandwidth.

sffloat | 1024.

Sampling frequency.

n_timesint | 4000

Number of time points.

n_epochsint | 10

Number of trials in the dataset.

noisefloat | .1

Amount of white noise.

ppfloat | 0.

The preferred-phase of the coupling.

rnd_state: int | 0

Fix random of the machine (for reproducibility)

Returns

dataarray_like

Array of signals of shape (n_epochs, n_times).

timearray_like

Time vector of shape (n_times,).