On Wed, Jan 25, 2012 at 4:03 PM, Mathieu Bouchard <[email protected]> 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 Considering the paper is unpublished and sparse decomposition is a pretty 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.
I've wondered about that too-from a perceptual point of view. There's not much differentiation among noise signals. They all mostly sound the same Even though there's a very large number of dimensions for variation, they must have a sparse representation somewhere (in the brains... brains...) but the FFT? no way... _______________________________________________ [email protected] mailing list UNSUBSCRIBE and account-management -> http://lists.puredata.info/listinfo/pd-list
