Here there is a need to super-resolution detection, the curve peak, resolution to achieve 10 times the sampling resolution,

I take matlab for curve fitting, get the results,
Excuse me:

1. Get the parameters in this formula a1, a2, b1, b2, c1 and c2 at the back of the bracket of two Numbers is what meaning?
2. This formula, how in the FPGA should I use?
Thank you very much superior guidance, thank!

Raw data:
1
0.612, 0.44
3 0.41
4 0.44
5 0.49
6 1.08
7 1.69
8 1.76
9 1.22
10 0.73
11, 0.50
12 0.45

The General model Gauss2:
F (x)=a1 * exp (- (b1) (x -/c1) ^ 2) + a2 * exp (- (x - b2)/c2) ^ 2)
Coefficients (with 95% confidence bounds) :

A1=0.4719 (3.714 3.714 e+004, e+004)
E+009 b1=1872 (5.128, 5.128 e+009)
E+010 e+004 c1=1.102 (1.516, 1.516 e+010)
A2=1.387 (1.119, 1.655)
B2=7.642 (7.444, 7.839)
C2=1.757 (1.353, 2.16)

A Goodness of fit:
SSE: 0.0449
R - square: 0.9835
Adjusted R - square: 0.9698
RMSE: 0.0865

CodePudding user response:

A Goodness of fit://goodness-of-fit
SSE: 0.0449//and variance, the error sum of squares
R - square: 0.9835/square/R (determination coefficient)
Adjusted R - square: 0.9698//the Adjusted R square
RMSE://0.0865 (root mean square of standard deviation)

CodePudding user response:

E+004 a1=0.4719 (3.714, 3.714 e+004) the meaning of this two Numbers in brackets said what, thank you!