The missing data estimation methods that I have presented are conceptually simple and easily extendible to arbitrary dimensionality. I have shown the importance of careful choice of initial values when a non-linear method is used. By making the assumption that the dips at aliased frequencies are the same as the dips at unaliased frequencies I have shown that we can make good choices of initial values that allow interpolation of aliased data.