Chuck, John:
If we know already, a priori, that the data is from a smooth function,
that means (moving from left to right say), the extended line or the
extended parabola from the last two or last three points respectively is
always a very good predictor of the next point, then I would
At 07:06 AM 12/23/2005 -0500, Robert McGwier wrote:
If we know already, a priori, that
the data is from a smooth function,
The phsical device has a smooth transfer curve ( MVAM109 capacitance /
voltage ) and
resonant frequency is a linear function of capitance ( f = 1 / ( 2 * pi *
L * C ) ) but
Perfect.
Chuck Swiger wrote:
Just thought while going to sleep last night, piecemeal linear or
collecting several data
points and doing linear interpolation betwen them should work fine.
For (x1, y1) (x2, y2) (x3, y3) where x1 x2 x3 I can get slope m1
and y-intercept b1
between x1-x2,
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
