You can get an approximate brown noise by running a noise source through [fexpr~ if(abs($x+$y)>1.0,$y-$x,$x+$y)] (an integrator with +/- 1 bounds.

Scale your noise source by somewhere in the 0.05 to 0.001 range (I don't know the exact value). If you want a quasi-gaussian noise source, you can just add 6 to 12 or so independent [noise~]s together.

I'm sure there are more precise ways, but if you need something quickly....

On Fri, Nov 13, 2015 at 10:35 PM, Alexandre Torres Porres <porres@gmail.com> wrote:

hi, wondering how to implement brown noise in Pd (vanilla or extended) - moreover, I'd like and if there's an external that does it.

same about grey noise

thanks

alex

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