Jan M

To implement an Exponentially Weighted Average on a stream of numbers/matrices/samples In Max/Jitter and gen~ is very straight forward . Could I do the same in jit.gen? I am stuck with accessing the previous matrix inside jit.gen. How could I do that? Any ideas?

To implement an Exponentially Weighted Average on a stream of numbers/matrices/samples In Max/Jitter and gen~ is very straight forward . Could I do the same in jit.gen?  I am stuck with accessing the previous matrix inside jit.gen. How could I do that? Any ideas?

accessing-previous-matrix-in-jit-gen-exp-weighted-average

there's no history in jitter gen, you simply store the history outside of the gen, same as in your jitter example:

and slightly simpler may be to use @thru 0 on jit.matrix:

Accessing previous matrix in jit.gen (Exp. Weighted Average)