And we want f' to be 1 (integer step) / (per) quantization size (for that amplitude)
On 2 November 2010 19:41, Ludwig Maes <ludwig.m...@gmail.com> wrote: > The reason you use the inverse is so that the amplitude remains the > same albeit quantized. The reason we use another function before > flooring is to distritube the floor levels.But afterwards we need to > bring the values back to their "original" place > > On 2 November 2010 19:37, Ludwig Maes <ludwig.m...@gmail.com> wrote: >> So you want amplitude 'a' dependant quantization size 'q' ? take your >> chosen q(a); in your example it seems you want a simple line: >> q=q(0)-k*a; >> define f(a) as integral of 1/q from a=0 to a; also calculate the >> inverse of f(a) i.e. a(f); >> >> now for each sample do: out=a(round(f(in))) where round is any floor >> or the like... >> >> have fun! >> >> ps: >> >> in your example: q=q0-k*a with for example q(0)=0.001 and >> q(0.8)=0.0001: q:=0.001-0.0009/0.8*a >> then f=2558.427881-1111.111111*ln(10.-9.*a) >> and inverse=easy >> >> >> On 2 November 2010 19:20, Ludwig Maes <ludwig.m...@gmail.com> wrote: >>> This is pretty easy actually, I use such things mostly to guide my >>> rhythmical quantization... >>> >>> On 2 November 2010 19:19, brandon zeeb <zeeb.bran...@gmail.com> wrote: >>>> This is even better. If I could minimize the jumps around Y = 0.5 to -0.5 >>>> It'll be exactly what I'm looking for... or a start at least. >>>> >>>> Do you see what I mean now? See how the amount of quantization changes >>>> with >>>> Y and a minimum quantization value? >>>> >>>> I think I'm getting towards the answer now... >>>> >>>> -- >>>> Brandon Zeeb >>>> Columbus, Ohio >>>> >>>> >>> >> > _______________________________________________ Pd-list@iem.at mailing list UNSUBSCRIBE and account-management -> http://lists.puredata.info/listinfo/pd-list