[Eeglablist] Signal processing educational videos online

[Scott Makeig]

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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20130131/ddb4a458/attachment.html>