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
<matju@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Considering the paper is unpublished and sparse decomposition is a pretty heavy topic I thought that is a really nice bit of science journalism by Larry Hardesty.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.lopes@ist.utl.ptwebsite:
http://web.ist.utl.pt/pedro.lopes /
http://pedrolopesresearch.wordpress.com/ |
http://twitter.com/plopesresearch