eelbrain.powerlaw_noise

eelbrain.powerlaw_noise(dims, exponent, seed=None)

Gaussian $(1/f)^{exponent}$ noise.

Parameters

dims (Union[NDVar, Dimension, Sequence[Dimension]]) – Shape of the noise.
exponent (float) –
The power-spectrum of the generated noise is proportional to $S(f) = (1 / f)^{exponent}$
- flicker/pink noise: exponent=1
- brown noise: exponent=2
seed (Union[int, RandomState, None]) – Seed for random number generator.

Notes