45 results about "Interpolation matrix" patented technology

The invention relates to an AVS fast intra-frame predicting method and a device thereof. The method is characterized by comprising the following steps: a decoding module recodes the current sub-blockframe code stream; an intra-frame predicting mode judging module obtains a current sub-block intra-frame code predicting mode according to decoded data operation; an intra-frame predicting computing module interpolates according to an intra-frame predicting mode and memorized adjoining one-row and one-line sample points; an IDCT / IQ module computes residual data; and a residual overlapping reconstructed module overlaps an interpolation matrix obtained by the interpolation and a residual matrix obtained by the IDCT / IQ module to obtain the final current frame image data and control the one-row and one-line sample points need for returning to the next interpolation. By adopting the design idea such as module multiplexing, the maximum parallel processing among the modules, and the like, the invention greatly improves computing speed and is very applicable to being realized by FPGA.

The invention discloses a singular boundary method for diffuse type dynamic data reconstruction. The singular boundary method is applicable to the reconstruction problem of fluid flow, heat and mass transfer, image processing and other relevant diffuse type data. A time dependent elementary solution is adopted as a base function of interpolation, and no laplace transformation or finite difference method is needed to discrete time items; an empirical formula is adopted for calculating source point intensity factors. According to the method, existing standard mesh generation difficulty is effectively avoided, and numerical integration processing is also avoided; in addition, a special structure of an interpolation matrix is utilized, an equation does not need to be solved in the whole calculation process, calculation time and memory requirements are greatly reduced, calculation errors are reduced, and calculation efficiency is improved. A new, simple and efficient tool is provided for diffuse type dynamic data reconstruction.

Conversion encoding coefficients which are accumulated in an input memory and read out from the memory is input into converting unit. Conversion matrix integration unit multiplies a basis matrix of conversion encoding coefficient by, arbitrary interpolation matrix or thinning matrix which is input from resolution conversion matrix inputting unit and sampling conversion matrix inputting unit to produce a converting matrix, and outputs the same to the converting unit. Alternatively, the conversion matrix integration unit selects a converting matrix which is previously calculated and stored in the memory, and outputs the same to the converting unit. The converting unit inputs the converting matrix from the conversion matrix integration unit and the conversion encoding coefficients from the input memory, and achieves the resolution conversion and sampling conversion by matrix product computation of the conversion encoding coefficients in row unit.

A method for realizing color interpolation of the value correction of exceptional points is disclosed. The method includes the following steps: the certain point in the BAYER matrix is set as the center to establish a 5×5 interpolation matrix, in which each point is represented by one known color and two unknown colors and the known color of the center is R or B; the known color of the center point is corrected based on the known color value of the known points in the matrix with the same color as that of the center point; the color change trends along both row and column directions in which the center point is located are judged to select the row direction or column direction in which the center as the reference direction of the interpolation calculation; and the two color values of the center point are interpolated.

The invention provides a space arc interpolation welding method based on a teaching robot. The space circular interpolation welding method includes the steps that coordinate values of any three points on an any space arc on a workpiece are preset; the circle center and the radius of a space circle corresponding to a space arc coordinate system and the space arc are determined according to the coordinate values of the three points; an attitude matrix of the robot under a workpiece coordinate system is obtained through calculation of the rolling angle, the pitch angle and the deflection angle of the robot at a teaching starting point under the workpiece coordinate system; the attitude matrix is converted into an initial matrix under the space arc coordinate system; a rotating matrix of the initial matrix around the Z axis of the space arc coordinate system is determined according to the circle center angle of the space circle corresponding to the space arc; a target matrix of a robot interpolation arc is determined according to the initial matrix and the rotating matrix; the target matrix is converted into an interpolation matrix under the workpiece coordinate system; and the robot conducts arc interpolation according to the interpolation matrix so as to weld the space arc. The operation method is simple, the machining precision is controllable, and the machining efficiency is high.

The invention discloses a hardware-oriented joint denoising and demosaicing method, which comprises the following steps of: 1, calculating accurate weights in left, right, upper and lower directions in a window taking red or blue as a center according to the characteristics of Bayer Raw data, and interpolating all missing green information; 2, calculating a high-frequency coefficient required for interpolating a green channel; 3, calculating a global direction weight and a voting direction weight; 4, interpolating the green channel; 5, performing edge-preserving direction wavelet denoising on the green channel; 6, performing interpolation on the color channel by adopting an interpolation matrix designed for the color channel; and 7, performing direction wavelet denoising on the color channel. According to the method, in a low-cost range which can be accepted by a mobile hardware platform, the noise can be removed while the mosaic is removed, so that the image quality of an existing scheme can be improved, and the operation complexity and the power consumption are improved.

This application discloses an interpolation matrix construction method and device of the multi-grid method for electromagnetic simulation of integrated circuits. The method includes performing a posteriori error estimation on the electromagnetic field calculated based on the coarse grid for the multi-scale structural layout in multi-layer VLSI electromagnetic simulation. , and insert new nodes into the coarse grid area of ​​the integrated circuit where the error exceeds the set value to obtain a fine grid, forming an adaptive finite element subdivision grid; divide the new node into a boundary new node and an internal new node, and respectively establish a fine grid The interpolation relationship between the boundary new node, the internal new node and the coarse grid node to be solved; the interpolation relationship corresponding to the boundary new node and the internal new node are merged into the interpolation relationship between the coarse-fine grid , to obtain the overall interpolation matrix between coarse and fine grids applied to the multigrid method. The application can greatly improve the convergence speed of large-scale sparse matrix iterative solution in multi-layer VLSI electromagnetic simulation, thereby improving the solution efficiency.

An image self-adaptation down-sampling method depending on interpretation relates to image and video processing, and solves a problem that the current down-sampling and up-sampling are always independent, but image and video processing always needs both the down-sampling and the up-sampling synchronously. The method comprises the steps as follows: steps I, on a given input image, a down-sampling image is generated, and the down-sampling image interpolates an up-sampling image; steps II, adopting a down-sampling method based on a block, the quality of sampled images is improved; steps III, whether the images is related to content or not is judged, if so, a step IV is executed, and otherwise, a step V is executed; steps IV, for down-sampling is not related to the content, interpretation coefficient forms a interpretation matrix, a down-sampling image is obtained via the inversion of an interpretation process; and steps V, if not related to the content, initial coefficient is provided, an initial down-sampling image is obtained by using a method not related to the content, new interpretation coefficient is trained according to obtained images, and the down-sampling image is obtained via iteration. The method is applicable to the image and video processing.

The invention belongs to the technical field of electric system operation and control, and particularly relates to an electric system state estimation method of a Phasor Measurement Unit-PMU based on an interpolation matrix. According to the method, during the updating interval period of SCADA measurement, a state, obtained through a PMU interpolation, of an area U is equivalent to prior state information of the area U, the prior state information is continuously updated at each sampling instant of the PMU, the interpolation matrix is updated when SCADA measurement and PMU measurement reach simultaneously at the next moment, and therefore the real-time running state of each node of the area U is worked out. The method has the advantages of being high in accuracy and sampling speed of PMU measurement, and can track the running state of the system accurately in real time.

The invention belongs to the technical field of signal acquisition and processing, and in particular relates to a terahertz video SAR real-time processing system. The system proposed by the present invention is composed of ARM+FPGA, wherein the ARM and the FPGA are connected through the AXI bus, and the ARM performs data interaction with the SAR receiver through the lwip protocol, and the processing of the data by the ARM includes: Perform interpolation matrix mapping on the received SAR image, perform transposition and amplitude normalization, transposition and two-dimensional FFTshift on the data sent by the received FPGA data processing module, and the FPGA quantity processing module processes the data Including: performing range FFT, azimuth FFT, complex signal modulo, pseudo-color conversion, and video stream conversion on data. The present invention implements a terahertz video SAR real-time processing system by using a highly integrated FPGA+ARM platform, completes three major functions of data receiving, data processing, and data display, and can reduce system development costs while reducing system volume and function. consumption.

The invention provides an upper and lower airfoil deformation superposition method. The method comprises the following steps: determining and obtaining flexibility matrixes in the centers of aerodynamic grid units of upper and lower airfoils; with a flexibility method, decomposing airfoil structure deformation into superposition of deformations generated under the single action of aerodynamic loads of the upper airfoil and the lower airfoil, and obtaining airfoil structure deformation amounts under the single action of the aerodynamic loads of the upper airfoil and the lower airfoil; according to initial static grid coordinates of the airfoils, obtaining deformation interpolation matrixes between the upper airfoil and the lower airfoil with a surface spline method, wherein the deformation interpolation matrixes between the upper airfoil and the lower airfoil include a deformation interpolation matrix [TUL] from the grid center of the upper airfoil to the grid center of the lower airfoil, an interpolation matrix [TLL] from the grid center of the lower airfoil to grid points of the lower airfoil, and an interpolation matrix [TLU] from the grid center of the lower airfoil to grid points of the upper airfoil; and according to the airfoil structure deformation amounts under the single action of the aerodynamic loads of the upper airfoil and the lower airfoil, and the deformation interpolation matrixes of the upper airfoil and the lower airfoil, determining upper and lower airfoil deformation superposition. According to the method, flexibility method based static aeroelastic CFD / CSD coupling calculation is suitable for any airfoil grid distribution situation.