Listogram? (help with data management)
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Dec 18, 2006 at 11:01pm
Listogram? (help with data management)Hello everybody. I am trying to create a live sampling patch for a course I am on which interacts with a hand percussionist, and was hoping for some help. My current hang up is this: I am attempting to gather this coninuous stream of data and pack it into a lists of exactly 128 steps of length, each of which I will scale into a value between 0-8. The reason I am doing this is to have step sequence patterns which correlate to a sort of histogram of various aspects of performance- time between attacks, volume, etc, which then playback in response to the player. I am easily able to collate a list of 128 values using zl group, scale them to 0-8 using a list scale object, which feeds a multislider, which feeds a sequencer… However, what I really need is something that will take a history of data that is an arbitrary length, say a list of 582 values for example- and ‘quantize’ them into a list that is 128 values long and between 0-8 values high that resembles the larger list, albeit more ‘stepped’, and I need to be able to do it with a “bang”, when the current playing sequence ends. Any guidance, magic object suggestions, vague hints, or different approaches would be greatly appreciated. Cheers, Jeremy |
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Dec 19, 2006 at 2:18pm
> Any guidance, magic object suggestions, vague hints, or different Hello, Did you have a look at histo and table objects? Hope this helps, |
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Dec 20, 2006 at 12:56pm
Thnak you for your reply. Yes, I’ve looked at table- I am pretty much using multi slider in the same way- I’ve looked at histogram, but I can’t see how it might solve my problem, unless I’m missing something. |
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Dec 20, 2006 at 7:42pm
hi Jeremy – here’s how I’d do it: First step would be storing the arbitrarily long list, then, when a bang is received, use [zl len] to get the length, and then divide that number by the length of the list you want to end up with. - say you’re list was 356 members long, you would get 356/128 = roughly 2.78. Round that up to nearest int, and split the list into chunks of that size (3), run it through [mean] and pack it back down as a list (uzi?) What you end up with is a patch that quantizes and averages at the same time, spewing out close-enough looking 128-long lists. This is of course of the top of my head, so there could be stuff missing, but that’s the way I would go, at least. |
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Dec 20, 2006 at 9:26pm
Excellent! That is the ticket. That is exactly what I want- a quantized semblance of the shape over time. |
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