The method projects data into two different subspaces respectively the kernel space and the original input space.
The first analytical method projects the outflow from a specific catheter position inside the coarse finite volume cell onto its vertices.
The method projects the original pressure problem onto a second coarser grid, on which it is less expensive to solve, and then prolongates the approximated coarse solution back to the fine-scale grid.
The method projects the measurement data on to an analytical image source model, in which Hankel's functions are used for a description of the wave fields emanating from the point of excitation, including the reflected wave fields from the edges of the finite plate.
An alternative method projects the windows one by one, instead of all eight windows at once (see Figure 10).
Thus, the proposed method projects those two patches onto the low-dimensional subspaces and enables the derivation of the projection corresponding to the inverse matrix of Σ.
