mvpa2.misc.data_generators.autocorrelated_noise¶
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mvpa2.misc.data_generators.
autocorrelated_noise
(ds, sr, cutoff, lfnl=3.0, bord=10, hfnl=None, add_baseline=True)¶ Generate a dataset with samples being temporally autocorrelated noise.
Parameters: ds : Dataset
Source dataset whose mean samples serves as the pedestal of the new noise samples. All attributes of this dataset will also go into the generated one.
sr : float
Sampling rate (in Hz) of the samples in the dataset.
cutoff : float
Cutoff frequency of the low-pass butterworth filter.
bord : int
Order of the butterworth filter that is applied for low-pass filtering.
lfnl : float
Low frequency noise level in percent signal (per feature).
hfnl : float or None
High frequency noise level in percent signal (per feature). If None, no HF noise is added.