Residual gravity data provide useful information for a geophysical interpretation of
geological sources. Several techniques have been developed and applied to separate a …

High-G MEMS accelerometers have been widely used in monitoring natural disasters and
other fields. In order to improve the performance of High-G MEMS accelerometers, a …

Abstract The North Singhbhum Mobile Belt is an important metallogenic province in the
Eastern Indian shield, and it hosts significant reserves of gold, uranium, and copper …

The method of bi-dimensional empirical mode decomposition (BEMD) and the combined
methods of entropy weight–Technique for Order of Preference by Similarity to an Ideal …

Reduction of aeromagnetic noise and extraction of mineralization-related residual
anomalies are critical for aeromagnetic data processing in mineral exploration. This study …

Identifying multi-scale anomalies that have simple forms and geological significance is
critical for enhancing the interpretability of gravity and magnetic survey data. In recent years …

We have developed an empirical-mode decomposition (EMD) algorithm for effective
suppression of random and coherent noise in 2D and 3D seismic amplitude data. Unlike …

Magnetic anomalies commonly contain anomalies generated by crustal rocks that have
variable mineral compositions and natural remanent magnetizations. Recovery of magnetic …

Separation of potential field data forms the basis of inversion and interpretation. The low-
rank matrix theory is used for the separation of potential field data. A theoretical analysis led …

A fast non-convex low-rank matrix decomposition method for potential field data separation
is proposed. The singular value decomposition of the large size trajectory matrix, which is …