hello,
This abstraction should work like your external.
So you can easilly use it on every platform...
But after more reflexion, i realize that the noise immunity is not very smart,
since it is not constant over regarding the offset of the signal.
i.e : if f a time variant function and k a constant, local_max(f) + k !=
local_max(f+k).
i would prefer the use of a constant threshold better than a threshold
depending on the amplitude of the signal.
So, i don't think i'll include this abstraction on the mapping directory.
unless someone have good arguments...
doing the same kind of analysis but with a constant threshold is just like using 2 mapping object :
hysteresis and local_max.
it's a pre-filtering technics, but with a "strange" filter.
hysteresis is a very good noise reduction filter for noisy data...
(i should develop more it's helpfile)
Cyrille
Loic Kessous a écrit :
Hi All,
I have an external that I made and use a lot (in fact I have several
but this one is a priority for me now). I compiled it for os X, but I
would be happy to use it also for MSW and even Linux.
I will be glad to let others use it too, I talked with Cyril Henry and
suggest me to add it to pd-extended so it will be compiled on the farm
for all the platforms and included in the distribution.
This external does the same thing as Cyril's [local_max] abstraction
but use a different method for robustness to noisy signals and avoid
inconvenient that can be introduce by pre-filtering.
As it was easier to do it as an external than an abstraction, that
what I did.
So can someone tell me how if it is possible and what I have to do for
this.
loic
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