[Eeglablist] clean_rawdata

[Makoto Miyakoshi]

Dear Tyler and Christian,

Theoretically yes, as it most likely uses zero-phase non-causal filter i.e.
a spike like a needle will be decomposed into a triangle, the left half of
which is 'information from the future'. Tim recommends slope fit and
subtract solution he supports in SIFT (that's for high-pass; for low-pass,
use cleanline).

Christian, is clean_rawdata high-pass filter zero-phase and non-causal? Or
was it zero-phase and causal?

Makoto

On Tue, Sep 30, 2014 at 5:37 AM, Tyler Grummett <
tyler.grummett at flinders.edu.au> wrote:

> Hello eeglabers, specifically makoto,
>
> I was just wondering if you used the 'initial high pass filter' in the
> function clean_rawdata, would it interupt connectivity analyses?
>
> Tyler
>
> Sent from my iPad
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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