[Mne_analysis] Width of the transition band when applying a Hilbert transform

[jeanne lusiot]

Hi Ross,

I agree. I set the transition band to 2 Hz, but I don't know if that will
provide sufficient temporal resolution. Is there some analytic way to
determine the temporal/spectral precision based on the width of the
transition band?
Best,
J

On Mon, Jan 22, 2018 at 5:11 PM, Ross Maddox <rmaddox at ur.rochester.edu>
wrote:

> Hi J,
>
> Note that 1 Hz wide filters are very narrow, especially if you want to
> analyze only a 400 ms window. The higher your frequency resolution, the
> lower your temporal resolution.
>
> Best,
> Ross
>
> --
> Ross Maddox, Ph.D.
> Assistant Professor of Biomedical Engineering and Neuroscience
> School of Medicine and Dentistry
> Hajim School of Engineering and Applied Sciences
> University of Rochester
>
> Office: KMRB G-9607
> Phone: 585-275-1835 <(585)%20275-1835>
>
> On Mon, Jan 22, 2018 at 3:32 PM, Denis-Alexander Engemann <
> denis.engemann at gmail.com> wrote:
>
>> Yes, this is the example I had in mind.
>>
>> On Mon, Jan 22, 2018 at 9:31 PM Alexandre Gramfort <
>> alexandre.gramfort at inria.fr> wrote:
>>
>>> hi,
>>>
>>> how about starting with something like this:
>>>
>>> http://martinos.org/mne/stable/auto_examples/time_frequency/
>>> plot_time_frequency_global_field_power.html
>>>
>>> ?
>>>
>>> HTH
>>> Alex
>>>
>>>
>>> On Mon, Jan 22, 2018 at 9:27 PM, jeanne lusiot <jeanne.lusiot at gmail.com>
>>> wrote:
>>> > Hello,
>>> > I mainly want to estimate theta, alpha, and beta power in the 200-600ms
>>> > postimulus window. Note that I could bandpass filter the data in the
>>> > corresponding ranges (e.g., theta: 4-7).
>>> >
>>> >
>>> >
>>> >
>>> >
>>> > averaged power in a specific temporal window (200 600ms poststimulus)
>>> for
>>> > theta bvand, alpha band, and beta band.
>>> >
>>> > On Mon, Jan 22, 2018 at 2:17 PM, Alexandre Gramfort
>>> > <alexandre.gramfort at inria.fr> wrote:
>>> >>
>>> >> hi J,
>>> >>
>>> >> may I ask what you are aiming to do afterwards with these filtered
>>> data?
>>> >>
>>> >> Alex
>>> >>
>>> >> On Sat, Jan 20, 2018 at 11:45 PM, jeanne lusiot <
>>> jeanne.lusiot at gmail.com>
>>> >> wrote:
>>> >> > Hello,
>>> >> >
>>> >> > My question relates more to a signal processing issue, so apologies
>>> in
>>> >> > advance if it is not appropriate for the forum.
>>> >> > I am currently doing an exploratory EEG power analysis  using the
>>> >> > filter-Hilbert transform and would appreciate some advice on the
>>> >> > parameterization of the band-pass filter. For each epoch and time
>>> step,
>>> >> > I
>>> >> > want to compute the power of each frequency from 1 to 30 Hz (in
>>> steps of
>>> >> > 1).
>>> >> > I am thus bandpass filtering the data prior to the application of
>>> the
>>> >> > Hilbert transform (so I bandpass filter from 1 to 2Hz, then from 2
>>> to
>>> >> > 3hz
>>> >> > etc. ).
>>> >> > Mne's FIR filter implemented via mne.filter.filter_data is perfect
>>> for
>>> >> > this
>>> >> > purpose, but I am wondering if I should use the default automatic
>>> width
>>> >> > of
>>> >> > transition band, or whether i should set  l_trans_bandwidth and
>>> >> > h_trans_bandwidth to some fixed value x across all frequency bands.
>>> If
>>> >> > so,
>>> >> > how should I set x to achieve a good balance between
>>> frequency/timing
>>> >> > precision ?
>>> >> >
>>> >> > Best,
>>> >> > J.
>>> >> >
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