- #1
preston8
- 18
- 0
Hello,
I'm creating a musical device which has stainless steel bars cut with a laser cutter. They are all the same length but vary in width. I created a set of test lengths (50 in total) and tested the pitch of each one using a tone analyzer. Now I'm looking to fit a curve to the data so that I can put in any pitch I want and get a length that the bar needs to be to achieve that pitch.
I know that the equation I generate won't be spot-on, but I would like to get as close as possible.
Here's the test data for each bar:
I mapped a "power" curve to the data set:
The curve yielded these results, but there is a significant error in the higher pitches:
I'm wondering what types of statistical tools I can use to perhaps reduce the error in the calculations.
-P
I'm creating a musical device which has stainless steel bars cut with a laser cutter. They are all the same length but vary in width. I created a set of test lengths (50 in total) and tested the pitch of each one using a tone analyzer. Now I'm looking to fit a curve to the data so that I can put in any pitch I want and get a length that the bar needs to be to achieve that pitch.
I know that the equation I generate won't be spot-on, but I would like to get as close as possible.
Here's the test data for each bar:
I mapped a "power" curve to the data set:
The curve yielded these results, but there is a significant error in the higher pitches:
I'm wondering what types of statistical tools I can use to perhaps reduce the error in the calculations.
-P