I am interested in determining the musical key of an audio sample. How would (or could) an algorithm go about trying to approximate the key of a musical audio sample?
I have two dimensional discrete spatial data. I would like to make an approximation of thespatial boundaries of this data so that I can produce a plot with another dataset on top of it.
lets say I have a big image with about 90% greenish pixels, 9% bluish pixels and 1% brownish pixels. I want to get a sample of only 100 pixels from the whole image having around maybe 2000,000 pixels.
Does anyone know of an algorithm or data structure relating to selecting items, with a probability of them being selected proportional to some attached value? In other words: http://en.wikipedia.org/w
I\'m trying to capture raw data from my line-in using DirectSound. My problem is that, from a buffer to another the data are just inconsistent, if for example I capture a sine I see a jump from my la
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