Hi all, is anyone here using the pdf~ object in the zexy library? I would be very grateful to anyone willing to explain to me how that object works (with maybe an example of usage?) in more words than the help file.
Thank you!
Benoît Fortier
On 10/10/2015 10:32 PM, Benoit Fortier wrote:
Hi all, is anyone here using the pdf~ object in the zexy library? I would be very grateful to anyone willing to explain to me how that object works (with maybe an example of usage?) in more words than the help file.
https://en.wikipedia.org/wiki/Probability_density_function
gfmdsr IOhannes
Ok thanks IOhannes, it was very counterintuitive to me but I think I understand this now : in the help patch, the pdf~ object draws a probability density fonction of values between -1 and 1 in an array (the size of the array can be specified as an argument) by doing a density estimation of the flow of samples coming in the signal inlet of the object. Thats what I needed to understand, but if, for the record, anyone want to complete this explanation or correct me on something I get wrong, i’d be happy to read you.
Benoît
Le 2015-10-10 à 16:40, IOhannes m zmölnig zmoelnig@iem.at a écrit :
On 10/10/2015 10:32 PM, Benoit Fortier wrote:
Hi all, is anyone here using the pdf~ object in the zexy library? I would be very grateful to anyone willing to explain to me how that object works (with maybe an example of usage?) in more words than the help file.
https://en.wikipedia.org/wiki/Probability_density_function
gfmdsr IOhannes
Pd-list@lists.iem.at mailing list UNSUBSCRIBE and account-management -> http://lists.puredata.info/listinfo/pd-list
On 10/13/2015 08:19 PM, Benoit Fortier wrote:
Ok thanks IOhannes, it was very counterintuitive to me but I think I understand this now : in the help patch, the pdf~ object draws a probability density fonction of values between -1 and 1 in an array (the size of the array can be specified as an argument) by doing a density estimation of the flow of samples coming in the signal inlet of the object. Thats what I needed to understand, but if, for the record, anyone want to complete this explanation or correct me on something I get wrong, i’d be happy to read you.
great. the only thing that is not accurately correct, is that [pdf~] doesn't do an estimation. it just *counts* how often each (quantized) value appears and outputs that measurement (normalized by the total number of samples encountered). that's why the result gets better the more samples it observes.
gfmsadr IOhannes