C. LS estimator
The module performs the LS estimation of the parameters of the fitting model. The functional structure of the implemented architecture is represented in Fig.4. The block
consists of a calculation area and a state machine with control purpose. It receives as input the values of the Jacobi matrix, the residual vector, the “datavalid” signal from the model function block, that indicates the availability of Jf and r, and provides output parameter values S of the fitting model. It generates also a “done” signal for the convergence controller when the step is completed.
As the implemented algorithm is customized to extract two independent parameters
0 and 1, Jacobi matrix ha two columns and m rows, being m the number of observations yi.This means that the kernel of calculation of the parameter corrections (eq.7) is a 2x2 matrix