On Wed, Jan 25, 2012 at 4:03 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Considering the paper is unpublished and sparse decomposition is a pretty heavy topic I thought that is a really nice bit of science journalism by Larry Hardesty.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.
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...