On 07/26/2012 07:04 PM, Julien Claassen wrote:
I sense a misunderstanding. With a single constant kernel you can only
model time-invariant systems. A Leslie is NOT time-invariant. I.e. the
response changes with time (the speaker rotates). So what you could do
as a workaround would be to get IRs from the Leslie at various
positions. Then convolve your input signal with each of them and mix the
outputs together with the mixing coefficients being a periodic function
of time.. You could probably get away with calculating only a few of the
convolutions if your mixing coefficients are sparse, i.e. you only
crossfade between two consecutive (in time) output signals.. (keep in
mind the window length of the convolution kernel, though)..
It's of course a tradeoff - You need quite a few IRs to make the
transitions smooth.. But then it's just a matter of hacking some code
around an existing convolution engine..
But this could be done with shelf solutions
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