Ardo Illaste edited res_fitting2.md  almost 10 years ago

Commit id: 5235ee4491d321de5d72ce25b7518e2db582fd7a

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Each pixel event is characterized by the parameters \(\mathbf{r}\). Four of these (\(A,d,\tau_{d},\tau_{r})\) determine the shape of the event and \(\mu\) the location in time. In order to completely charactarize a pixel event it is also necessary to know the pixel's spatial location. This would require one or two spatial coordinates, respectively for line- or framescans. Hence, a pixel event is wholly defined by two vectors: the shape parameter vector \(\mathbf{p}^s=\left[A,d,\tau_{d},\tau_{r}\right]\) and the position parameter vector \(\mathbf{p}^p=\left[\mu,x,y\right]\).  The *k*-th event detected in pixel *i* is represented by vectors   \(\mathbf{p}^s_{i,k}\) and \(\mathbf{p}^p_{i,k}\). These *k*  vectors can be stacked to create an event matrix (E) for pixel *i*: \[  E_i =   \left(