On Jan 25, 2011, at 7:34 PM, Jan Baumgart wrote:
When the two signal portions are alike, they are strongly correlated
- so you get a maximum value for the correlation.
If they have "nothing in common" you get a correlation value near
zero.\
he said he was using periodic function generation
that's perfectly right.
When the two signal portions are alike, they are strongly correlated -
so you get a maximum value for the correlation.
If they have "nothing in common" you get a correlation value near zero.
For pitch detection you look for maxima in the auto-correlation.
There's also t
I'm trying to understand autocorrelation as related to some pitch detection
algorithms I've been looking at.
In example code for the autocorrelation, it is the summation of a sample at
indexes multiplied by a sample at indexes plus an offset.
eg
for (i=0;ihttp://music.columbia.edu/cmc/music-ds
