A multidimensional scale-telescoped filter and data extension package

"Versatile and efficient data processing methods (filter and data extension algorithms, complete with FORTRAN subroutines) are presented. Foremost among the features of the filter is its versatility; it is adaptable to different scale sizes; rectangular windows are possible. Also, it smooths up to the boundaries of a (multidimensional) data set. The function of data extension is to complete or fill in regions of missing data; it is used to interpolate/extrapolate missing values. The extension method is an averaging technique that tends to the sample mean as the distance from the good data increases."