112 results about "Hermite interpolation" patented technology

The invention relates to a lithium-ion battery capacity estimation and residual cycling life prediction method, and relates to a method for estimating the capacity of a battery and predicting the service life of the battery, which solves the problem that the capacity of a lithium battery cannot be estimated, and the residual service life of the lithium battery cannot be predicted. a/n of the collected charging-discharging cycle times x, the discharging voltage of each charging-discharging cycle, the battery capacity, and the residual capacity data z of the battery after each time of charging and discharging cycle is used as the training data, and the residual data of the (n-a)/n is used as the test data, the training data is expanded by utilizing a segmented tertiary Hermite interpolation method, the training data of different interpolation points obtained after the expansion is used for modeling, a GPR (general purpose register) model with different parameters is used for carrying out the forecasting so as to predict the residual capacity of the battery after N times of charging and discharging cycles of the lithium battery, and the residual capacity of the battery after N times of charging and discharging cycles can be obtained; and the method is suitable for estimating the capacity of the battery and predicting the service life of the battery.

The invention provides a seismic data reconstruction method. According to the method, after acquired, seismic data is subjected to Fourier transform; in a time-frequency domain, the seismic data is subjected to singular value decomposition and truncation treatment; in a frequency domain, the seismic data which is Hankel matrixed is subjected to singular value decomposition and truncation treatment. At the premise of causing little damage to valid signals, random noise can be suppressed, and the seismic data with missing channels can be subjected to interpolation; the difference in vibration amplitude between an interpolated signal and an original signal decreases nonstop with iteration; the use of step interpolation leads to improved coherence of the seismic data. Denoising and interpolation are performed through singular value decomposition in the time-frequency domain, the defect that simultaneous denoising and interpolation is unavailable in the conventional method is overcome, loss of the valid signals during denoising can be effectively reduced, and relative amplitude preservation is available.

The invention relates to a method for testing the key performance of a drive shaft assembly of a constant velocity universal joint in the technical field of automobile part test. The method comprises: (1) automobile steering equivalent testing: using a Hermite interpolation method to locate a critical point, judging the boundary value of neighborhood of the critical point by a cubic interpolation polynomial, thereby realizing the testing on high precision swing moment and swing angle properties; (2) equivalent testing on integrated relationship of mobile terminal universal joint displacement, swing angle and sliding force: using an inflection point subdivision sampling method and an optimal square approximation method to carry out fitting on the boundary value of the neighborhood of an inflection point by a Legendre polynomial operator, thereby realizing the testing on the integrated relationship of the displacement, the swing angle and the sliding force; and (3) power transmission stability equivalent testing: using a LOG operator to carry out precise edge localization of the boundary position,and using an optimal uniform approximation method to carry out fitting on the boundary property value in the domain of the critical point, thereby realizing the testing on assembly clearance property. In the invention, high precision automatic detection technology and algorithm are used to test multiple key performance indexes, thereby effectively reflecting the performance property of tested products.

The invention discloses a lightweight video interpolation method based on a feature level optical flow, which is used for solving the technical problem that the existing lightweight video interpolation method is poor in practicability. According to the technical scheme, firstly, multi-scale transformation is carried out on two continuous frames of images in a given video, and an optical flow estimation module at the feature level is adopted to calculate a forward optical flow and a reverse optical flow between the two frames under the current scale; warp transformation on the two images is performed in time sequence according to the forward optical flow and the reverse optical flow respectively to obtain two interpolation images; the interpolated images are combined to obtain a four-dimensional tensor, and the tensor is processed by utilizing three-dimensional convolution to obtain an interpolated image under the scale; And weighted average on the images are carried out with differentscales to obtain a final interpolation image. According to the invention, the video interpolation is carried out by using the optical flow of the feature level and the multi-scale fusion technology, and the precision and speed of the video interpolation are improved. A 1.03 MB network model is used for obtaining the average peak signal-to-noise ratio of 32.439 and the structural similarity of 0.886.

The invention discloses a channel estimation method of an orthogonal frequency division multiplexing (OFDM) communication system, belonging to the technical field of mobile communication. The method comprises the following steps: acquiring frequency domain interpolation coefficient values under the conditions of different channel types and signal-to-noise ratios; extracting receiving values at pilot subcarriers; estimating the channel function value at each pilot subcarrier; carrying out sampling estimation of the channel types; carrying out sampling estimation of the signal to noise ratios; selecting a proper frequency domain LMMSE interpolation coefficient W; and carrying out segmented interpolation of the frequency domain and linear interpolation of the time domain. The invention simplifies the LMMSE method, selects different prestored interpolation coefficients according to the specific conditions of channels, does not need matrix inversion operation and has simple implementation; and meanwhile, the segmented interpolation is adopted in the frequency domain, thereby having the effects of stable performance and easy implementation.

A method and apparatus are provided for motion compensated video interpolation. Each field or frame in a sequence of video images is subdivided into a plurality of blocks and a motion vector field is derived using block matching for a current video field using data matched to a previous video field or frame. A first time instance is determined at which an interpolated block is to be displayed and a second time instance is determined at which a corresponding interpolated block is to be created. Video data for each block is interpolated at its second time instance for each block and is then output for display at the first time instance.

The invention provides a whole-flow-field simulation method of the Hermite interpolation basic weighted non-oscillatory format. A finite-volume Robust HWENO format is constructed in the Cartesian coordinate, and through the cooperation with the immersed boundary method, a compressible flowing-around problem is calculated, the robustness of the Robust HWENO format is better than that of a HWENO format, and the Robust HWENO format is more easily popularized into a high-dimensional or movable and self-adaptive grid. Under a structural grid, when directly simulating the problem, the finite-volume Robust HWENO format requires a high-quality grid, however, generation of the high-quality grid is very complicated, and the immersed boundary method is a good method which can well process the boundary of an object surface and can be effectively used in various computational grids. Therefore, in the method, the finite-volume Robust HWENO format is effectively combined with the immersed boundary method, numerical simulation of the compressible flowing-around problem can be effectively conducted on a very simple Cartesian grid, and several numerical value simulation results of classical steady and unsteady problems fully verify the effectiveness of the method.

The invention discloses a receiver quick positioning method based on strong tracking filtering and a Hermite interpolation method. According to the receiver quick positioning method, based on a known satellite running state, the position of a satellite can be predicted in an interpolation manner, so that the computation complexity is greatly reduced while the positioning precision is ensured; by utilizing a strong tracking filtering device, the quick positioning of a receiver is realized. Specifically the receiver quick positioning method comprises the following steps of firstly extracting ephemeris parameters in a navigation message, and computing the position and the speed of the satellite according to an air interface document; secondly selecting a time interval of a sliding window, and estimating the position of the satellite orbit according to the Hermite interpolation method; finally adjusting a system state vector and a noise covariance matrix. According to the receiver quick positioning method based on the strong tracking filtering and the Hermite interpolation method, which is disclosed by the invention, the positioning resolution of the receiver is carried out by utilizing the strong tracking filtering; meanwhile, the time interval of the sliding window is adjusted, and the prediction and the filtering on the orbit are carried out repeatedly, so that the quick positioning of the receiver is realized; on the premise of ensuring the positioning precision, the computation complexity is greatly reduced, and the requirements of a user on the positioning precision, the real time performance and the robustness of the receiver can be met.

The invention discloses a surface modeling method blended by interpolation type segmentation and approximation type segmentation and belongs to the field of computer aided design and manufacturing technology. Based on the internal relation between the existing interpolation type segmentation and approximation type segmentation, the method provides a method blended by an approximable Catmull-Clark segmentation mode and an interpolation mode based on tensor product four-point interpolation, thus achieving the purpose that local interpolation segmentation curve, tessellated mesh and the tessellated mesh generated between the interpolation grids and the approximation grids can be obtained without needing to reversely obtain control vertex or to solve equations sets and solving the jump problems of 'expansion' or 'contraction' when multiresolution is used for expressing.

A plane shape detection method of a heliostat for tower type solar power generation includes the steps that an industrial personal computer (4) controls the heliostat (5) to be detected, a CCD camera (2) can collect a deformed image, reflected by the heliostat (5), of a complex stripe image screen (3), a computer (1) controls the CCD camera (2) to collect a deformed complex stripe image reflected by the heliostat (5), and the slope distribution situation of the heliostat plane is obtained in combination with constructed virtual reference plane phase distribution and a heliostat plane slope and phase mapping model. The plane shape of the heliostat plane of the heliostat (5) to be detected can be obtained on the basis of the generalized Hermite interpolation method.

The invention discloses an image interpolation method and an image interpolation apparatus. The image interpolation method comprises: edge point information of an image is obtained; according to the edge point information and peripheral reference points of a to-be-interpolated point, whether the to-be-interpolated point is located in an edge region is determined; if so, an angle class which the edge direction of the to-be-interpolated point belongs to is obtained, wherein edge directions of pixel points of the image are classified into m angle domains in advance and the m angle domains are divided into n angle classes in advance; on the basis of the angle class which the edge direction of the to-be-interpolated point belongs to, a corresponding one-dimensional horizontal interpolation kernel is used for carrying out horizontal interpolation on the to-be-interpolated point; and after horizontal interpolation completion, vertical interpolation is carried out on the to-be-interpolated point by using a preset one-dimensional vertical interpolation kernel. On the basis of the technical scheme, the image quality after interpolation processing can be guaranteed; the computation complexity during the interpolation process can be reduced; and software and hardware resources that may be occupied during the interpolation process can be reduced.

The invention targets the application of GF-4 satellite image preprocessing and especially the application of cloud and cloud shadow detection, and provides a sequence image automatic relative registration method. For sequence images in the same geographic area, the roughly relative position relationship of the images is determined based on the approximate latitude and longitude coordinates of the four corners of the images. The retrieval scope of image block automatic matching is determined according to the positioning error. Through secondary block automatic matching, control point data is obtained, and a linear function is fitted out. The sequence images are relatively registered through different linear functions, which is different from the traditional satellite image pixel-by-pixel registration. The latter needs system geometric correction, geometric precision correction and multiple times of image interpolation and re-sampling. The process is simplified, and grid parallelization is fully considered. The method can meet the requirement for engineering-oriented rapid processing of massive data.

The invention discloses an SFDR testing method based on five-maximum-sidelobe-damping-window three-spectral-line interpolation. Initialization setting of an SFDR testing program is completed, and sampling data are obtained through an ADC testing system; five maximum sidelobe damping windows are established, and sampling data are subjected to windowing FFT operation; a spectral line with the maximum amplitude and left and right spectral lines thereof are subjected to searching in FFT spectral lines for base waves and each harmonic wave, and the ratio of the difference of the amplitudes of the left and right spectral lines and the maximum spectral line amplitude is obtained; the mode of approximation by polynomial is used for obtaining the interpolation coefficients of the base waves and each harmonic wave; and finally, the correction amplitudes of the base waves and each harmonic wave are obtained through interpolation operation, the correction amplitudes are put into an ADC SFDR computational formula, and testing results are obtained. The ADC SFDR testing method based on five-maximum-sidelobe-damping-window three-spectral-line interpolation is provided for the first time. The method has the advantages that spectrum leakage and picket fence effect can be effectively restrained, and ADC SFDR is tested quickly and accurately.

The invention discloses a space circular arc interpolation method of a triaxial cartesian robot. The space circular arc interpolation method of the triaxial cartesian robot comprises the steps that any three non-collinear points on the movement path of the triaxial cartesian robot are designated; the three points are substituted into an analysis formula of the circle center and the radius; the central angle of the circular arc needing interpolation is calculated; the specific normal vector N of the plane where the three points are located is calculated, and a specific auxiliary vector M is constructed according to the normal vector N; the parameter equation of the interpolation points are expressed; the number of times of interpolation is calculated; the parameter value of the ith interpolation is calculated and substituted into the parameter equation, and the point coordinates of the ith interpolation are obtained; the termination point of interpolation is judged; and a calculation result is transmitted to an execution mechanism of the triaxial cartesian robot. The space circular interpolation method of the triaxial cartesian robot reduces the calculation amount, simplifies the code quantity, improves the operation speed and the interpolation precision, is suitable for any starting and termination points and any plane and can be applied to the robot control field having higherrequirements for the operation speed and the precision.

Apparatus and methods for quadrature clock signal generation are provided. In certain implementations, an apparatus includes an invertible sine shaping filter configured to receive an in-phase clock signal, a quadrature-phase clock signal, and an inversion control signal. The invertible sine-shaping filter is further configured to filter the in-phase and quadrature-phase clock signals to generate sinusoidal in-phase and quadrature-phase clock signals. The invertible sine-shaping filter is further configured to selectively invert one or both of the in-phase and quadrature-phase clock signals based on an inversion control signal. The apparatus further includes a phase interpolator configured to generate an interpolated clock signal based on a weighted sum of the selectively inverted sinusoidal in-phase clock signal and the quadrature-phase sinusoidal clock signal. The in-phase clock signal and the quadrature-phase clock signal have a quadrature-phase relationship.

The invention provides a high-speed machining stability domain prediction method based on cutter tooth cutting time course fine integration. The high-speed machining stability domain prediction methodcomprises: firstly, establishing a high-speed milling dynamics model considering regeneration flutter; secondly, dispersing the rotation period of the main shaft, and simplifying the Duhamel integralin the time delay differential equation into an integral of a state item and a time delay item at each dispersed small interval; secondly, using a piecewise cubic Hermite interpolation polynomial tofit a time lag item, and meanwhile, using a plurality of known time node responses and derivatives thereof to approach a required item, so that the fitting error of a calculation method is reduced, and the precision of the prediction method is improved. In addition, in the process of solving the stable lobe graph, a fine integration algorithm is applied, matrix inversion operation in the calculation process is avoided, the time consumed by the calculation method is greatly shortened, and the calculation efficiency is improved.

The invention discloses a parameter interpolation method based on prediction and iterative compensation. The method solves the problem that interpolation has errors in the prior art. The parameter interpolation method has the beneficial effects that the interpolation precision can be adjusted by controlling the number of iterations, and the scheme is as follows: the parameter interpolation methodbased on prediction and iterative compensation comprises the steps of: predicting a target length by combining a second-order Taylor formula on the basis of a multi-time polynomial prediction algorithm designed by historical interpolation data to obtain a prediction length; Designing an iterative compensation algorithm based on a second-order Taylor formula and speed fluctuation to approach the target, and adjusting the interpolation precision by controlling the number of iterations; And when interpolation of the period is completed, updating historical data to prepare for next interpolation.

The invention relates to a stability state acquiring method of a milling system. The method comprises the steps of 1, building a Hermite interpolation polynomial functional integration quadrature formula; 2, building a function relation between a free vibration starting point an ending point of a cutter based on the theory that the cutter vibrates during cutting by a milling cutter; and building amilling state transferring torque; 3, determining the stability of the milling system based on the floquet theory and the built milling state transferring trolley; and 4, building a stability boundary diagram based on the determined stability of the milling system. Compared with the prior art, the method has the advantages that the milling system stability state can be acquired on the premise that the calculation accuracy is not reduced, and the stable boundary of the milling system can be quickly constructed, so that the method is of important significance on selecting of non-vibration milling processing parameters in production process.

The invention discloses an SCADA master station load prediction method based on deep learning. The master station load prediction method mainly comprises the following steps: generating original data;preprocessing the original data, wherein the preprocessing comprises three times of Hermite interpolation calculation and feature extraction and feature normalization one by one, wherein the Hermiteinterpolation calculation comprises box-type graph abnormal value elimination and conformal segmentation; training the sample data obtained through normalization in the preprocessing by adopting a deep learning LSTM network, and obtaining an optimal model parameter through cross validation; and carrying out real-time load prediction by using the optimal model parameters. A self-adaptive nonlinearprocessing technology is adopted, a large amount of historical data is used for training, the short-term load prediction precision is improved, and dispatchers can accurately know the change fluctuation of the future load in real time.