Current Source Density Reconstruction from Incomplete Data

Current Source Density Reconstruction from Incomplete Data

We propose two ways of estimating current source density (CSD) from measurements of voltage on a Cartesian grid with missing recording points using the inverse CSD method. The simplest approach is to substitute local averages (LA) in place of missing data. A more elaborate alternative is to estimate a smaller number of CSD parameters than the actual number of recordings and to take the least-sq...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

image reconstruction from incomplete data

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Reconstruction of Smooth Functions from Incomplete Data

In many situations, one is confronted with the problem of trying to reconstruct an unknown continuous function from a finite set of data points or measurements where some of this data is incorrect, missing, or unreliable. If a contiguous set of data points is missing, the problem of reconstruction is highly ill-posed with an infinite dimensional solution set. However, if more information about ...