5 results about "Tensor completion" patented technology

The application discloses a track tensor completion and abnormality repairing method based on singular value weighting and truncation, and relates to the technical field of flight track data processing.The application fully utilizes easily-obtained ADS-B track data, and mines the internal law through intelligent learning capability; meanwhile, aiming at the complex problem that missing and abnormality are coupled with each other in the track data, a robust tensor model is innovatively constructed, which fuses an adaptive weight mechanism, singular value truncation and sparse abnormality constraint, so that the collaborative and accurate processing of missing completion and abnormality repairing is realized; further, an optimization solving strategy based on an alternating direction multiplier method is proposed, and through the augmented Lagrange method, low-rank track tensors, sparse abnormality tensors and auxiliary variables are efficiently block-iteratively optimized, so that the complete track can be accurately recovered in a complex data environment.

This invention relates to the field of data calibration technology and discloses a geophysical survey data feedback calibration method. An initial model is established through geological data integration, and low-resolution areas are identified using sensitivity matrix calculations. During the acquisition phase, a multi-azimuth survey line array is deployed, and the source position is dynamically adjusted by monitoring the offset distribution heatmap in real time. When a spectral gap is detected, low-frequency source supplementary excitation is automatically triggered. For areas with missing acquired data, a low-rank tensor completion algorithm is used to recover the complete data volume. During the inversion process, long-offset data is prioritized to construct a macroscopic velocity model, and then short-offset reflected wave data is gradually introduced to refine the local structure. The model uncertainty analysis module automatically identifies low-confidence areas, generates supplementary acquisition coordinates, and drives field equipment to implement directional encryption. The newly added data is rapidly processed and reinjected into the inversion process, forming a continuously optimized closed-loop system.

This invention discloses a high frame rate ultrasound plane wave tensor completion method based on T-SVD and angle regularization, belonging to the field of ultrasound imaging technology. The method includes: acquiring data; encoding selected and unselected angles into TCP codes; transmitting the encoded image along a specified angle; constructing a mask matrix Ω to form an incomplete tensor X containing partially known data; zero-padding the acquired RF data to expand it to the full size; reconstructing the data corresponding to the missing angles from the incomplete tensor; iteratively solving the problem using the alternating direction multiplier method; determining whether the convergence error convergence criterion has been met; and, after iteration, completing the tensor X to obtain the full angles. Composite imaging is then performed based on the obtained complete RF data. This invention solves the problems of slow convergence speed, high computational complexity, and unsmooth completion results in existing tensor completion algorithms. Under conditions of extremely limited angle sampling, this invention achieves a balance between high frame rate and high quality in ultrasound imaging through efficient low-rank tensor completion.

This invention relates to the field of electrical digital data processing technology and discloses a method for calculating the total tidal energy based on multi-source fusion data. The method includes: collecting multi-source observation data and geographic topology data; mapping the data to a three-dimensional voxel grid to construct a spatiotemporal velocity tensor; calculating the rate of change of the inner product of the grid velocity vectors; adaptively refining the grid resolution using an octree structure; determining the occlusion state of the grid addressing path based on the geographic topology data; establishing anisotropic completion constraints by setting the weights to zero; removing outlier sampling points by combining the tidal harmonic constant; and calculating the total tidal energy using the filled tensor. This invention couples geographic constraints to the tensor completion logic, eliminating the passivation defects in the velocity field simulation caused by abrupt topographic changes, and ensuring the physical fidelity of tidal energy calculation in large-scale ocean areas.