公开(公告)号：EP4400989A1

公开(公告)日：2024-07-17

申请号：EP24151078.3

申请日：2024-01-10

申请人： Sparsit AB

发明人： MIANDJI, Ehsan ,  UNGER, Jonas ,  HAJISHARIF, Saghi

IPC分类号： G06F17/11 ,  H04N19/00

CPC分类号： G06F17/11

摘要： The present disclosure relates to a computer-implemented method for r configuration of a sensor system, said method (500) comprising providing (510,520), for a training dataset X consisting of at least one data element Xi for a measurement of the sensor system (200) relating to an initial set-up of the sensor system (200), a dictionary D forming a signal model comprising at least one basis function and at least one set of sparse coefficients S. Each set of sparse coefficients Si and the dictionary D represents one of the data elements Xi of said training dataset X. Determining (530) an optimal sub-sampling operator ψ based on the dictionary D and said at least one set of sparse coefficients S, wherein the optimal sub-sampling operator ψ is a selection of a true subset of the sample positions of the training dataset X, wherein the true subset corresponds to the sample positions containing the most important samples of the training dataset X. Configuring (540) the sensor system (200) based on the initial set-up of the sensor system (200) and the optimal sub-sampling operator ψ.