50results about How to "High numerical precision" patented technology

A signal processing method include steps initializing a residual data signal representative of an acquired data signal, determining a significant coefficient corresponding to the residual data signal, updating the residual data signal using the significant coefficient to generate updated residual data signal, iteratively determining significant coefficients to generate a plurality of significant coefficients using the updated residual data signal, updating the plurality of significant coefficients by using a successive approximation technique, to improve the numerical accuracy of the significant coefficients and reconstructing a data signal using the updated plurality of significant coefficients.

The invention is applicable to the technical field of computers, and particularly relates to an electric power system state determination method and device, a computer medium and a storage medium. Theelectric power system state determination method comprises the steps of obtaining system measurement data, system topology network information and a node admittance matrix and establishing an electric power system state estimation model; processing the system state quantity equation according to a set membership filtering algorithm, and establishing a time updating ellipsoid; processing the system quantity measurement equation according to an adaptive algorithm; and determining measurement update ellipsoids. According to the power system state determination method provided by the embodiment of the invention, state estimation is carried out on a system state quantity equation through a set membership filtering algorithm; combined with the adaptive algorithm program, the electric power system state determination method can better adapt to the non-Gaussian noise distribution; the method is advantaged in that the adaptive algorithm is utilized to process the system quantity measurement equation, the data processing sequence in the system quantity measurement equation can be adjusted, measurement data redundancy is fully utilized, and numerical precision is further improved.

The invention discloses an adaptive grid disturbance domain update acceleration method for predicting the aerodynamic characteristics of an aircraft. First, a new data format in which the adaptive grid and the dynamic computing domain are coupled and stored is proposed, so as to realize the dynamic computing domain information on the adaptive grid. Second, establish an adaptive detector that can identify characteristic units located in the off-body strong shock region, slow convergence, etc.; thirdly, establish an off-body strong shock that can not only accelerate the convergence but also minimize the calculation increment. Wave area anisotropic refinement grid adaptive strategy; Finally, the coupling logic and algorithm of adaptive grid refinement and dynamic computational domain update are established, and an adaptive grid disturbance domain update acceleration method is proposed. This method can further improve the acceleration effect of the existing disturbance domain update methods; compared with the traditional global update method, it can provide a technical approach to simultaneously optimize the grid and computational domain for the prediction of aircraft aerodynamic characteristics.