Tag Archives: xenakis

Granular Primer part 2: Control Data, Statistics, Reaktor Ensembles

When there are hundreds of grain events happening every second, generating enough control data for all the grains is an interesting challenge.  Most software approaches this problem in a straightforward, but somewhat boring way.  For instance, a common approach with all grain software is the “jitter” or randomization of parameters between certain values–randomly selecting a read more »