Applying MNE to other kinds of time-series data

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Dear MNE experts,

I would like to apply MNE to whiten times-series data which were saved as
.cvs, rather than .fif. However, in the demo code "b, a = fit_iir_model_raw
<https://martinos.org/mne/stable/generated/mne.time_frequency.fit_iir_model_raw.html#mne.time_frequency.fit_iir_model_raw>
(raw, order=order, picks=picks, tmin=60, tmax=180)" , the raw refers to the
raw fif file, right? May I ask how should I transform the format from cvs
to fif, or if 'fit_iir_model_raw' could recognize data matrix directly? The
data matrix now I have is a small matrix, such as 300 x 300. Any
suggestions would be much appreciated.

Best regards,

Lizhi
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MNE-Python has a class RawArray
<https://martinos.org/mne/stable/generated/mne.io.RawArray.html?highlight=rawarray>
which can be used to construct a Raw object from array data. See examples
here
<https://martinos.org/mne/stable/auto_examples/io/plot_objects_from_arrays.html>
and here
<https://martinos.org/mne/stable/auto_tutorials/plot_creating_data_structures.html>
.