> ...I hadn’t seen it before. I take that back—I did read your blog article on it when it was new—thought the part about the FIR on top sounded familiar. But very nice to see it in code, thanks!
> On Jan 20, 2016, at 6:38 PM, Nigel Redmon <earle...@earlevel.com> wrote: > > Very nice, Stefan! > > Thanks for bring it up, I hadn’t seen it before. > > Nigel > > >> On Jan 20, 2016, at 2:59 PM, Stefan Stenzel <stefan.sten...@waldorfmusic.de> >> wrote: >> >> Allen, >> >> Did you consider the recipe for pink noise I published recently? >> It performs better in terms of precision and performance than all others. >> >> https://github.com/Stenzel/newshadeofpink >> >> Regards, >> Stefan >> >> >> >>> On 20 Jan 2016, at 21:41 , Allen Downey <dow...@allendowney.com> wrote: >>> >>> Hi Music-DSP, >>> >>> Short version: I've got a new blog post about generating pink noise in >>> Python: >>> >>> http://www.dsprelated.com/showarticle/908.php >>> >>> Longer version: >>> >>> If you set the WABAC machine for 1978, you might remember Martin Gardner's >>> column in Scientific American about pink noise and fractal music. It >>> presented material from a paper by Voss and Clarke that included an >>> algorithm for generating pink noise. >>> >>> Then in 1999 there was a discussion on this very mailing list about the >>> Voss algorithm, which included a message from James McCartney that >>> suggested an improvement to the algorithm. This page explains the details: >>> http://www.firstpr.com.au/dsp/pink-noise/ >>> >>> And in 2006 there was another discussion on this very mailing list, where >>> Larry Trammell suggested a stochastic version of the algorithm. This page >>> has the details: http://home.earthlink.net/~ltrammell/tech/pinkalg.htm >>> >>> As an exercise in my book, Think DSP, I challenge the reader to implement >>> one of these algorithms in Python, using NumPy for reasonable performance. >>> I present my implementation in a new blog post at >>> >>> http://www.dsprelated.com/showarticle/908.php >>> >>> From there, there's a link to the IPython notebook with all the details. >>> >>> Hope you find it interesting! >>> >>> Allen >>> >>> _______________________________________________ >>> dupswapdrop: music-dsp mailing list >>> music-dsp@music.columbia.edu >>> https://lists.columbia.edu/mailman/listinfo/music-dsp >> >> _______________________________________________ >> dupswapdrop: music-dsp mailing list >> music-dsp@music.columbia.edu >> https://lists.columbia.edu/mailman/listinfo/music-dsp >> > > _______________________________________________ > dupswapdrop: music-dsp mailing list > music-dsp@music.columbia.edu > https://lists.columbia.edu/mailman/listinfo/music-dsp _______________________________________________ dupswapdrop: music-dsp mailing list music-dsp@music.columbia.edu https://lists.columbia.edu/mailman/listinfo/music-dsp
