2 results about "Baseline shift" patented technology

The application relates to a near-fault ground motion acceleration record baseline offset correction method based on continuous wavelet transformation, and belongs to the technical field of ground motion data processing, which comprises the following steps: S1, removing the average value before the occurrence of an earthquake in an original acceleration record; S2, performing low-pass filtering on the initial acceleration record; S3, determining a ground permanent displacement estimation value; S4, performing continuous wavelet transformation on the low-pass filtered acceleration record; S5, extracting a pulse possibly containing the permanent ground displacement; S6, determining the pulse signal containing the permanent ground displacement; S7, obtaining a non-pulse signal; S8, performing high-pass filtering on the non-pulse signal; and S9, obtaining the corrected near-fault ground motion acceleration record. The application can retain the permanent ground deformation characteristics in the near-fault ground motion, and the obtained ground motion record can more accurately reflect the influence of the earthquake on a structure.

The application discloses a baseline drift self-adaptive robust high-resolution inversion method based on electromagnetic gradient, belongs to the technical field of electromagnetic signal inversion, and comprises the following steps: constructing an initial inversion conductivity model; constructing an electromagnetic gradient data residual error objective function based on electromagnetic field gradient data residual error; calculating an inversion gradient data Jacobian matrix; determining parameters required by inversion; and solving an iterative updating model. The application provides a ground-to-air electromagnetic gradient signal inversion method, adopts a data residual error term of electromagnetic field gradient field action, utilizes electromagnetic gradient, avoids the risk of overall resistivity drift, maintains complete utilization of real signals, and significantly improves the resolution capacity of abnormal boundaries.