[Mne_analysis] FIR filter in mne

[Ross Maddox]

Using the iir code for fir filtering would work, but it would miss out on
all the speed benefits of fir filtering, especially when doing zero phase
(i.e. forward backward). Should we expose _overlap_add_filter?
On May 20, 2016 5:13 PM, "Eric Larson" <larson.eric.d at gmail.com> wrote:

> You can use the IIR code -- a FIR filter can be expressed as an IIR filter
> with a [1] for the denominator coefficient (i.e., a=[1.]).
>
> If you need the FIR coefficients to be identical and want to stay in
> Python, you'll have to wait until `firls` is implemented in SciPy:
>
> https://github.com/scipy/scipy/pull/5989
>
> In the meantime, though, you could compute the filter coefficients in
> MATLAB, save them, and load them in Python. Also, make sure they used
> forward-backward (acausal) filtering, and not one-pass (causal) FIR
> filtering, as they will produce different results.
>
> Eric
>
>
> On Fri, May 20, 2016 at 5:03 PM, Moorselaar, D. van <
> d.van.moorselaar at vu.nl> wrote:
>
>> Hello,
>>
>> I am trying to replicate an EEG study that used Matlab with mne. This
>> study reported to have used a bandpass two-way least-squares finite impulse
>> response filter for power analyses.
>>
>> If I understand the MNE documentation correctly, in mne the
>> forward-backward filtering option is only possible with iir filters?
>>
>> Is this correct or is the forward-backward option also implemented in the
>> FIR filter.
>>
>> Thank you,
>>
>> Dirk van Moorselaar
>>
>>
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