mne.time_frequency.fit_iir_model_raw¶

mne.time_frequency.fit_iir_model_raw(raw, order=2, picks=None, tmin=None, tmax=None, verbose=None)¶

Fits an AR model to raw data and creates the corresponding IIR filter

The computed filter is the average filter for all the picked channels. The frequency response is given by:

\[H(e^{jw}) = \frac{1}{a[0] + a[1]e^{-jw} + ... + a[n]e^{-jnw}}\]

Parameters:	raw : Raw object an instance of Raw. order : int order of the FIR filter. picks : array-like of int | None indices of selected channels. If None, MEG and EEG channels are used. tmin : float The beginning of time interval in seconds. tmax : float The end of time interval in seconds. verbose : bool, str, int, or None If not None, override default verbose level (see mne.verbose).
Returns:	b : ndarray Numerator filter coefficients. a : ndarray Denominator filter coefficients

Examples using mne.time_frequency.fit_iir_model_raw¶

Generate simulated evoked data

Temporal whitening with AR model