Separation filtering of regional and residual gravity and magnetic fields has been the subject of extensive research. Wavenumber and spatial domain methods, variously described as matched filtering, layer filtering, depth slices etc. have been developed Separation or layer filtering of magnetic data allows us to deconvolve the effects of causative sources occurring around a particular level. In practice, it is impossible to achieve a complete separation since the problem is non-linear. Separation filtering depends fundamentally on the concept of random distributions of sources within discrete layers and assumes that there is no statistical difference in response along each ideal layer and no correlation between the distribution in each layer.

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