Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!samsung!olivea!mintaka!bloom-beacon!snorkelwacker.mit.edu!ai-lab!wookumz.gnu.ai.mit.edu!campbell
From: campbell@wookumz.gnu.ai.mit.edu (Paul Campbell)
Newsgroups: comp.compression
Subject: Re: Compression of 16-bit sound files
Keywords: DPCM sound compression
Message-ID: <14938@life.ai.mit.edu>
Date: 16 Apr 91 14:36:54 GMT
References: <rog.670690472@color> <161069@felix.UUCP>
Sender: news@ai.mit.edu
Organization: The Internet
Lines: 8

As far as sound compression goes, why not do a Fast Fourier transform or
a Discrete Cosine Transform to get it to a frequency spectrum and then
compress that after quantizing it? It should end up much smaller after
compression because the frequency conversion on anything but noise spectra
should introduce lots of zeroes. It's not that hard to do the reverse
transform for either case, either. You do introduce a significant loss in
speed, but a lot of sound editing is easier on the frequency form and the
original goal was compression of the data, after all.