[Eeglablist] Signal processing educational videos online

RAHUL VENUGOPAL rhlvenugopal at gmail.com
Sun Feb 3 02:08:53 PST 2013


Dear Barry Van Veen,


Thanks you sir, thanks a lot for sharing this. It will be help full to all
beginners in eeg processing, bci researchers etc.


On Fri, Feb 1, 2013 at 7:37 AM, Scott Makeig <smakeig at gmail.com> wrote:

> Forwarding the message below from Barry Van Veen.  Signal processing is a
> specific skill and knowledge base important for EEG imaging research but
> (too) rarely provided to students outside of engineering departments.
> Thanks to Barry for offering it.
>
> Scott Makeig
>
> ---------- Forwarded message ----------
> From: Barry Van Veen <vanveen at engr.wisc.edu>
> Date: Thu, Jan 31, 2013 at 3:51 PM
> Subject: [megcommunity] signal processing education
> To: MEGCOMMUNITY at jiscmail.ac.uk
>
> Dear Colleagues,
>
> I've created a YouTube channel containing Khan Academy style mini lectures
> (< 15 mins ea) on signal processing:
> http://www.youtube.com/user/allsignalprocessing  I believe they will be
> of value to people working in MEG [or EEG -sm], especially those without
> formal training in signal processing.
>
> Last fall I taught the senior-level signal processing class at the
> University of Wisconsin and developed these videos in place of lecturing in
> the class - students watched these before class, and during class time we
> worked problems.  So the YouTube channel has more than 70 videos spanning
> sampling, the DFT, filter design, the z-transform, and an intro to 2-D
> signal processing.  They require relatively little background beyond
> calculus - although previous exposure to Fourier transforms is helpful.  I
> am adding content this spring from another course that will include a bid
> of random processes, time series modeling, wavelets, etc.
>
> The channel is organized topically in playlists and the sidebar for each
> playlist lists the other playlists containing background material.
>
> My hope is that it serves as a useful resource for the community.  Please
> feel free to pass it on to anyone you think might find it helpful.
>
> Best regards,
> Barry
>
>  Barry Van Veen
> Lynn H. Matthias Professor
> Electrical and Computer Engineering Department
> University of Wisconsin - Madison
> 1415 Engineering Drive
> Madison, WI 53706
> (608) 265 - 2488                                       (608) 262 - 1267(FAX)
>
>
>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>
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