Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!sdd.hp.com!cs.utexas.edu!uunet!mcsun!corton!mirsa!sibelius.inria.fr!weigl
From: weigl@sibelius.inria.fr (Konrad Weigl)
Newsgroups: comp.compression
Subject: Re: Compression of 16-bit sound files.
Message-ID: <11212@mirsa.inria.fr>
Date: 4 May 91 19:38:13 GMT
References: <1991Apr21.163913.2249@smsc.sony.com> <1991Apr21.185611.8680@nntp-server.caltech.edu> <1991Apr22.100239.1788@cl.cam.ac.uk> <1991Apr23.221537.21108@cc.tut.fi>
Sender: news@mirsa.inria.fr
Followup-To: comp.compression
Organization: INRIA, Sophia-Antipolis (Fr)
Lines: 29
Nntp-Posting-Host: sibelius.inria.fr

In article <1991Apr23.221537.21108@cc.tut.fi>, jk87377@cc.tut.fi (Juhana Kouhia) writes:
> 
> Have anyone researched possibility to use a fractal compression
> (IFS) to music.
> I can see that music contains a lot more selfsimilarities than
> pictures; for example listen to disco hit music.
> Same thing with some symphonies.
> 
> It might be possible compress a file by checking those 'same'
> waveforms and save one of them and store others as relatives to the
> saved waveform --


Look at newsgroup comp.fractals;
Otherwise, there are quite a few papers on IFS & time series out
there, I believe; you just have to look it up.

As far as music compression via "waveforms", look at
Gabor-transforms, or wavelet-decomposition:
some french are heavily into this, they call them "ondelettes"
which means wavelets.

Konrad Weigl               Tel. (France) 93 65 78 63
Projet Pastis              Fax  (France) 93 65 78 58
INRIA-Sophia Antipolis     email weigl@mirsa.inria.fr
2004 Route des Lucioles    
B.P. 109
06561 Valbonne Cedex
France