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2 results about "Higher-order singular value decomposition" patented technology

In multilinear algebra, the higher-order singular value decomposition (HOSVD) of a tensor is a specific orthogonal Tucker decomposition. It may be regarded as one generalization of the matrix singular value decomposition. The HOSVD has applications in computer graphics, machine learning, scientific computing, and signal processing. Some key ingredients of the HOSVD can be traced as far back as F. L. Hitchcock in 1928, but it was L. R. Tucker who developed for third-order tensors the general Tucker decomposition in the 1960s, including the HOSVD. The HOSVD as decomposition in its own right was further advocated by L. De Lathauwer et al. in 2000.

A Monitoring and Evaluation System and Method for Conjugate Soil Slope Restoration Based on Multi-Source Sensing

This invention discloses a monitoring and evaluation system and method for conjugate soil slope restoration based on multi-source sensing, belonging to the field of civil engineering monitoring and safety assessment technology. The system includes a heterogeneous sensing layer, an edge fusion layer, a cloud evolution layer, and an autonomous decision-making layer. The method includes: acquiring multi-dimensional state information of the conjugate system through a biomimetic multi-source sensor network; constructing a four-dimensional time-series tensor model and using high-order singular value decomposition with confidence constraints for data fusion and restoration; dynamically evaluating the system's health based on a physical information element learning network; and predicting failure paths and generating graded early warnings using a micro-damage propagation graph network. This invention treats the restoration body and the original soil as a conjugate system, realizing a shift from phenomenon monitoring to mechanism inversion and from static evaluation to dynamic prediction, solving the problems of isolated data, static evaluation, and delayed early warning in traditional monitoring.
Owner:NANCHANG UNIV

An underwater target positioning method based on underwater acoustic particle velocity polarization processing

ActiveCN120334922Bavoid mismatchreduce mismatchHydrophone arrayUnderwater acoustics
The application discloses a kind of underwater target positioning methods based on underwater acoustic particle velocity polarization processing.The method includes: arranging vector hydrophone array and carrying out underwater acoustic signal acquisition, and write the vector received signal of vector hydrophone array into tensor form;The tensor received signal of vector hydrophone array is carried out high-order singular value decomposition and the noise subspace of each dimension information matrix is solved by truncation to n module expansion left singular matrix;Array manifold matrix of vector hydrophone array is constructed and is written into polarization array manifold tensor;Azimuth-polarization two-dimensional spectrum search is carried out using array manifold tensor and noise subspace, and the azimuth and polarization parameters of the detected target are obtained from two-dimensional spectrum peak value.The underwater target positioning method provided by the application can accurately estimate the polarization parameters and the angle of arrival of incident signal, which helps to complete the underwater acoustic signal information based on frequency, wave number, mode and other characteristics by means of polarization parameters, and significantly improves the underwater target detection capability.
Owner:ZHEJIANG UNIV