This is for the mathematicians out there - what is a simple working algorithm for creating a function model to fit an arbitrary number of data points. What I have for a first approximation, simple linear (y=mx+b) actually works better than nothing, but there's room for improvement.
I set one frequency input X1=3.9e6 and an arbitrary antenna control output Y1=1800 and adjust the physical antenna for peak signal. Then I change the frequency to X2=4e6 and adjust the antenna output for peak signal, which happens to be Y2=1580. From there you can get the slope m=(Y2-Y1)/(X2-X1) and the y intercept b = Y1 - m * X1. After that calibration the antenna tune output is m * freq + b, works fine. Change the frequency and the antenna peak tracks ok, especially near the two calibration points, but going very far out or if the points are too far apart noticible error creeps in. What is a method similar to that for 3 points? or n points? I want to collect (x1, y1), (x2, y2), (x3, y3) then use a simple python formula to get a workable y for any given x. Thanks --Chuck _______________________________________________ Discuss-gnuradio mailing list Discuss-gnuradio@gnu.org http://lists.gnu.org/mailman/listinfo/discuss-gnuradio
