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

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

The computed filter is fitted to data from all of the picked channels, with frequency response given by the standard IIR formula:

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

An instance of Raw.


Order of the FIR filter.

picksstr | list | slice | None

Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g., ['meg', 'eeg']) will pick channels of those types, channel name strings (e.g., ['MEG0111', 'MEG2623'] will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick good data channels.


The beginning of time interval in seconds.


The end of time interval in seconds.

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.


Numerator filter coefficients.


Denominator filter coefficients.

Examples using mne.time_frequency.fit_iir_model_raw