On 1 May 2017 at 23:18, Crojav <hendrikus.godvl...@posteo.net> wrote: > > > Op 01-05-17 om 19:41 schreef Bart Brouns: >> I tested it, and unfortunately it is very sensitive to harmonics, >> causing it to output s too high frequency. > > Bart - Thanks that help me - before I start with the code. This is > absolute not what i am looking for. I need a "frequencie meter" c.q > tracker who is exact and stable.
You won't find an "exact" frequency tracker. The best you can hope for is a "reasonably reliable approximation". The "Yin" algorithm gives pretty good results for single musical notes and other waveforms that are reasonably periodic, but it's quite computationally expensive. See Alain de Cheveigne and Hideki Kawahara's article "YIN, a Fundamental Frequency Estimator for Speech and Music" FFT is a well known method for spectral analysis. See https://en.wikipedia.org/wiki/Fast_Fourier_transform For "instantaneous frequency", see the "Hilbert Transform" https://en.wikipedia.org/wiki/Hilbert_transform For harmonic signals, you could look at the cepstrum. See: https://en.wikipedia.org/wiki/Cepstrum Steve > > Regards Crojav > > ------------------------------------------------------------------------------ > Check out the vibrant tech community on one of the world's most > engaging tech sites, Slashdot.org! http://sdm.link/slashdot > _______________________________________________ > Faudiostream-users mailing list > Faudiostream-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/faudiostream-users ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, Slashdot.org! http://sdm.link/slashdot _______________________________________________ Faudiostream-users mailing list Faudiostream-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/faudiostream-users
