In Article<60olm4$r8l$1 at fremont.ohsu.edu>, <jonesmat at ohsu.edu> write:
> Path: tcp.co.uk!wapping.ecs.soton.ac.uk!warwick!server2.netnews.ja.net!news-peer.bt.net!btnet!newsfeed.internetmci.com!204.59.152.222!news-peer.gsl.net!gsl-penn-ns.gsl.net!news.gsl.net!gip.net!uwm.edu!biosci!news.ohsu.edu!not-for-mail
> From: Matt Jones <jonesmat at ohsu.edu>
> Newsgroups: bionet.neuroscience
> Subject: Re: Wavelet analysis
> Date: 29 Sep 1997 16:40:36 GMT
> Organization: Vollum Institute
> Lines: 51
> Distribution: world
> Message-ID: <60olm4$r8l$1 at fremont.ohsu.edu>
> References: <NEWTNews.875472140.6943.crosley at crosley.tcp.co.uk>
> NNTP-Posting-Host: 137.53.99.48
> Mime-Version: 1.0
> Content-Type: text/plain; charset=ISO-8859-1
> Content-Transfer-Encoding: 8bit
> X-Newsreader: Nuntius 2.0.4_68K
> X-XXDate: Mon, 29 Sep 1997 17:51:26 GMT
> Xref: tcp.co.uk bionet.neuroscience:12342
>> In article <NEWTNews.875472140.6943.crosley at crosley.tcp.co.uk> ,
>crosley at tcp.co.uk writes:
> > Can anyone suggest an introduction to wavelet analysis
> > with no, or minimum, maths? I have Hubbard's book
> > but find it a bit obtuse. I am particularly interested
> > in EEG applications. John Shaw.
>> Hi John,
>> I would start here:
>http://www.public.iastate.edu/~rpolikar/WAVELETS/WTtutorial.html>> This is an excellent intro, that leads you by the hand through some of
> the basic ideas, and brings in the math very gently.
>> A zillion more wavelet resources, spanning the whole range of difficulty,
> can be found at this amazingly useful page:
>http://www.amara.com/current/wavelet.html>> To get into wavelets for real, you will need some kind of reasonably
> powerful computer math package, like MATLAB (www.mathworks.com),
> Mathematica, IDL or Maple. Or you will need to be a decent programmer
> yourself. If you use MATLAB, there is a huge (and free) Toolbox available
> here:
>http://stat.stanford.edu/~wavelab/>> Wavelab contains all the basic tools for doing all sorts of wavelet
> applications, but more importantly for the beginner, has some tutorials
> (called Workouts) that take you through implementing the analysis.
>> For Wavelets in EEG, the work that I am familiar with is from Piotr Durka
> & Katarzyna Blinowska, who have used Zhang and Mallat's Matching Pursuit
> algorithm to track EEG sleep spindles and epileptiform activity, and show
> the time vs frequency relationships in the data. Very nice. Their home
> page is at:
>http://www.fuw.edu.pl/~durka/med_ph.html>> Incidentally, Wavelab contains m-files for running Matching Pursuit.
>> Now, there's one kind favor I'll ask of you:
>> As you find new and interesting links to resources, tutorials
and
> software on your journey, please email them to me at the
address above,
> or post them here!
>> Cheers,
>> Matt Jones
>> "Do waves wave goodbye when they leave the seashore?"
> -from "Brain Cell", a children's book.
Thanks. I have found a Wavelet Digest and other info
at www.wavelet.org. but its a different language out
there! I just want to be able to understand some of
the EEG papers, not actually apply it. I'm fairly
conversant with Fourier analysis. I'll try the
tutorial you recommend. John Shaw.