[Mne_analysis] TFR Multitaper on Raw Data

[JR KING]

Hi Alex,

You can do:

# retrieve data as numpy array:
raw_array = raw.load_data().pick_channels([picked_channel,]).get_data()

# apply time frequency decomposition:
freqs = np.logspace(0, 1, 10)
sfreq = raw.info['sfreq']
tfr = mne.time_frequency.tfr_array_multitaper([raw_array], sfreq=sfreq,
freqs=freqs)

Best,

Jean-Rémi

On 4 December 2017 at 18:30, Rockhill, Alexander P. <
AROCKHILL at mgh.harvard.edu> wrote:

> Hi all,
>
>     Is there a way or best way to apply the tfr multitaper to an entire
> raw channel?
>
> Thanks,
>
> Alex
>
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