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Author | Topic: algorithmic distribution |
vincenzo unregistered |
![]() ![]() ![]() Hello! I collected a certain quantity of samples that I would use in a piece. My computers run under WinXp and Linux (Mandrake 10.1). I am wondering if it is possible (under Kyma X or another software) to recall them in algorithmic fashion. What I mean is to obtain dynamic controllable probability functions (uniform, linear, triangle, exponential, bilateral and reverse exponential, gaussian, cauchy, beta and weibull). I would also like to distribute those samples in a caothic, periodic or through tendency mask. Unfourtunatly I do not know how to solve this huge problem. Could anyone to help me please? Thanks and best regards. G. IP: Logged |
laurentOstiz Member |
![]() ![]() ![]() Hi ! Perhaps it's a bit late to answer, but one possible solution is Max/MSP with the A-Chaos Lib from André Sier for chaos and attractors on one hand, and the Litter Power package for probability and distribution on the other hand. IP: Logged |
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