quote them: "A recording, on the other hand, of all possible instruments each playing all possible notes at once wouldn’t be sparse — but neither would it be a signal that anyone cares about."
If I didn't get it wrong: I think they mention the "premise" is the opposite of white noise, thus signals do not exhibit the behavior of white noise (spread out through all spectrum). Once again, its just a tool, and tools are useful for certain cases, and not useful for other cases. Like the hammer. Best, pedro On Wed, Jan 25, 2012 at 11:03 PM, Mathieu Bouchard <ma...@artengine.ca>wrote: > Le 2012-01-20 à 23:55:00, Andy Farnell a écrit : > > Considering the paper is unpublished and sparse decomposition is a pretty >> heavy topic I thought that is a really nice bit of science journalism by >> Larry Hardesty. Since periodic music signals probably fit the bill quite >> well it's good news for our kind of work. >> > > Does it have better upper bounds ? > > If not, it doesn't change much for realtime. > > E.g. if I feed something somewhat like a white noise to this FFT, what > exactly will it try skipping ? Every harmonic will be fairly nonzero. > > ______________________________**______________________________** > __________ > | Mathieu BOUCHARD ----- téléphone : +1.514.383.3801 ----- Montréal, QC > _______________________________________________ > Pd-list@iem.at mailing list > UNSUBSCRIBE and account-management -> > http://lists.puredata.info/listinfo/pd-list > > -- Pedro Lopes (HCI Researcher / MSc) contact: pedro.lo...@ist.utl.pt website: http://web.ist.utl.pt/pedro.lopes / http://pedrolopesresearch.wordpress.com/ | http://twitter.com/plopesresearch
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