2 results about "Ratio Sequence" patented technology

The invention provides a cross-scale optimal scale ratio selection method for a transient strong nonlinear scale model test, and belongs to the field of engineering structures. The problem of large similarity conversion error caused by theoretical inapplicability of the existing method is solved. The method comprises the following steps: based on a model component test of a classical similarity theory, introducing a first-order derivative relationship that a variable pi item changes along with a scale ratio, establishing a micro-grouping similarity model and carrying out Taylor expansion to obtain an iterative relationship that the variable pi item changes along with the scale ratio; setting a scale ratio sequence, and converting the iterative relationship into a parabola mapping model representing the dynamic behavior of the system; the method comprises the steps of determining a pervasive constant and a scale-free interval corresponding to the pervasive constant on the basis of a reformation group theory, selecting a cross-scale optimal scale ratio according to the number of iterations, carrying out a model test, obtaining a model change pi time sequence, and carrying out similarity conversion on a model test result to a prototype on the basis of a parabola mapping model and the reformation group theory. The method is used in the field of transient strong nonlinear system dynamic response analysis.

The application discloses a geometric constellation shaping joint coding modulation method based on deep learning, and belongs to the geometric constellation shaping method. By constructing an end-to-end system containing a deep learning modulator and a demodulator, a log-likelihood ratio calibration module is integrated at the end of the demodulator to output soft information matched with a decoder; a multi-objective joint loss function containing a cross-entropy loss, a generalized mutual information loss and a boundary constraint loss is determined; a phased training strategy of first freezing the calibration module for basic constellation shaping and then jointly fine-tuning is adopted; the trained modulator is deployed at a sending end for geometric constellation shaping mapping, and the demodulator is deployed at a receiving end to output a calibrated log-likelihood ratio sequence to the decoder. The application realizes deep collaboration of coding and modulation, and improves transmission reliability and spectral efficiency.