[Mne_analysis] Equivalent of eeglab's eegfilt() in mne

Eric Larson larson.eric.d at gmail.com
Wed Jan 17 10:19:21 EST 2018
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In Python we only support window-based FIR design, not least squares.
However, you could use SciPy's `firls` with `lfilter` or `flitfilt`
directly.

Best,
Eric


On Wed, Jan 17, 2018 at 10:05 AM, Servant Mathieu <servant.mathieu at gmail.com
> wrote:

> Hi community,
>
> Is there a direct equivalent of eeglab's eegfilt() function (see below) in
> mne? I think that mne.filter.filter_data(data, srate, l_freq, h_freq)
> does something similar when phase='zero-double'. Could you confirm?
> Best,
> Mat
>
>
> % eegfilt() -  (high|low|band)-pass filter data using two-way least-squares %              FIR filtering. Optionally uses the window method instead of %              least-squares. Multiple data channels and epochs supported.%              Requires the MATLAB Signal Processing Toolbox.% Usage:%  >> [smoothdata] = eegfilt(data,srate,locutoff,hicutoff);
>
>
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