Abstract
One of the significant objectives of geophysical data recording and processing is the enhancement of the signal-to-noise ratio, and in this perspective, the design of an optimum digital filter is pivotal. The well-known Wiener-Hopf filter has been successfully applied to attain this objective. In comparison, the output energy filter is a tool, by which one can attempt to enhance the signal-to-noise ratio by retrieving the signal at the output, producing a longer burst of energy in the time interval where the signal occurs. In the present work, we report the development of a digital filter, namely, gravity energy filter for the improvement of gravity signal-to-noise ratio, immersed in coloured noise. For the design of such filter, it is not obligatory to have explicit knowledge of the gravity signal shape ; nevertheless, its performance level is not compromised. We demonstrated its applicability on synthetic data, generated by considering two spherical bodies at the subsurface, where in the gravity signal buried in coloured noise beyond visual recognition, is easily detected after filtering.