Pretty much any worthy math package like Matlab, Mathcad or my favorite
Scilab will have a variety of facilities for this.
As I recall from many years ago Mathcad has something that I believe was
called linfit that was pretty easy to use.
I haven't actually done this in a long time so I can't
I got my usrp last month and have been learning my way around gnuradio
and wxpython.
The attached tarball has a couple files which may be useful in examples.
They implement ssb demod
in the frequency translating FIR. It probably isn't the most efficient
way to implement ssb but I think it is
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,
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 ) )
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 sugge
cswiger wrote:
> 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.
You could try a least squares fitted polynomial
http://mathworld.wolfram.com/LeastSquaresFittingPolynomial.html
has a descri
