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Reconstruction of gradients from sampled data is a crucial task in
volume visualization. Gradients are used, for instance, as normals for
surface shading or for classification in standard ray casting
techniques. Using the ideal derivative reconstruction filter, which
can be derived from the ideal function reconstruction filter, is
impracticable because of its infinite extend. Simply truncating the
filter leads to problems due to discontinuities at the edges. To
overcome these problems several windows have been defined, which are
discussed in this paper with respect to gradient estimation.
Keywords: volume visualization, reconstruction, gradient, filter, frequency response
There is a lot of perhaps unnecessary lore about choice of a window
function, and practically every function that rises from zero to a
peak and then falls again has been named after someone.
in Numerical Recipes in C [17]

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