133results about How to "Improve interpolation accuracy" patented technology

A system and method for locating multiple objects on a capacitive touch pad is described. The method for determining locations of a plurality of objects contemporaneously interacting with a capacitive touch pad having a sensing region includes generating a first capacitive profile associated with a first object and a second object contemporaneously in the sensing region and determining locations of the first and second objects with respect to the sensing region utilizing the first capacitive profile.

The invention relates to systems for a transmission of images via channels of communication with a limited capacity by means of application of compression of the images. The technical result consists in an increase of the compression degree upon encoding, and it allows to fulfill the transmission of such encoded images via the channel of communication with the limited capacity, therewith a high degree of the compression is provided without of increase of computational power of encoding device and without of distortions upon decoding. The result is obtained by the usage of more effective method of interpolation of restored subsamples, in this method there is used an adaptive and applicative set of samples, which restore a quantized signal, and this set of the samples allows to improve an accuracy of the interpolation with a number of the subsamples, which is necessary for the right interpolation that is simultaneously decreased one.

The invention discloses a simulation method for high dynamic multi-mode satellite navigation signal source and a device thereof, wherein, the high dynamic multi-modal satellite navigation signal source can simulate satellite signals of the following three systems: Global Position Satellite system, global navigation satellite system and second-generation Beidou satellite navigation system in space, and the satellite signals are received by a dynamic navigation receiver; the signal resource can simulate the moving state of a user receiver, imitate the error of satellite signals caused in the course of transmission and produce three-mode satellite signals in real time. In the embodiment, the device consists of a user interface module, a control module, a satellite parameter calculation module, a satellite signal producing module, an output device and a data receiving and analysis module. The device simulates simultaneously three-mode satellite signals to accelerate the research of multi-mode navigation receiver. By using an inner fumitoshi interpolation method, the device saves calculation resources and improves interpolation accuracy. By using a parametric design, the device can improve the reusable ability of modules and aim at different satellite navigation systems to implement convenient transformation.

A method and system for an improved data acquisition system with an image detector array and an image processing system which finds a malfunctioning cell, interpolates a signal for the malfunctioning cell using neighboring channels of the cell, and corrects the interpolation with an error rate found in performing interpolations on neighboring rows with cells which are not malfunctioning. The image processing system may include a DAS and a reconstruction system. The step of finding a malfunctioning cell may be accomplished through a variety of methods, such as measuring discrepancies between a cell's and its neighboring cell's average readings over time and exposing the cells to x-rays which should produce similar readings in all the cells and comparing the cells' signals, looking for discrepancies. The step of interpolating and the step of correcting may take into consideration cells within the same projection view as the malfunctioning cell.

The invention relates to an SFS (Shape From Shading) three-dimensional reconstruction sparse-DEM (Digital Elevation Model) encrypting method considering surface spectral information. The invention creatively provides a coarse-resolution DEM-grid interpolation-encrypting method by combining multi-spectral remote-sensing images with SFS three-dimensional reconstruction; ground-object spectral information is utilized to estimate the reflectivity of different ground-object types, and the influences of surface-vegetation coverage types on the precision of SFS reconstruction are removed; in the invention, multi-spectral images are utilized to replace full-color images, and the precision of three-dimensional reconstruction is improved by applying the assistance of the ground-object spectral information; the influences of the surface-vegetation coverage types and ground-object shadows on establishing a surface three-dimensional model and image spectral-brightness transforming relation can be effectively inhibited; and relative to a commonly-used DEM interpolation algorithm, the precision is markedly improved, and examples validate that the method can be used for improving the DEM spatial resolution to be two times of original data and finishing large-range rapid DEM establishment based on sparse control points.

A third harmonic distortion corrector is equipped for correcting a third harmonic distortion contained in a two-phase sinusoidal signals with different phases output from an encoder. A third harmonic calculator / detector calculates the amplitude a3 and the phase φ3 of the third harmonic using Fourier analysis, based on change in radius r of the Lissajous waveform output from a r-θ converter. The third harmonic distortion corrector corrects the third harmonic distortion of the two-phase sinusoidal signal A4, B4 based on the amplitude a3 and the phase φ3 of the third harmonic calculated.

The invention relates to a universal arc welding robot teaching method regarding a cylinder intersection welding seam. The method is suitable for four kinds of cylinder intersection welding seams, namely central vertical crossing, central inclined crossing, eccentric vertical crossing and eccentric inclined crossing. The method is characterized in that a pose transformation matrix of a workpiece coordinate system relative to a robot-based coordinate system is established and calibration of a cylinder intersection welding seam workpiece coordinate system is realized by operating a robot to teach four characteristic points on a cylinder intersection welding seam workpiece on line; a cylinder intersection discrete point coordinate and a corresponding welding gun pose under the robot-based coordinate system are generated through the corresponding interpolation algorithm, so that generation of a cylinder intersection welding seam track and welding gun pose fitting are realized. The method has the following advantages: the arc welding robot only needs to teach four characteristic points in a cylinder intersection welding seam welding task; the teaching efficiency is high, the track interpolation accuracy is high and the adaptability is strong; and the working efficiency and the welding quality of the arc welding robot for welding the cylinder intersection can be greatly improved.

The invention discloses a complex riverway terrain quick and fine generation method. By performing unified block division, classification and numbering on spatial relationships of complex terrain boundary points, scattered boundary points are fitted with a natural riverway course and a new riverway boundary is generated, so that the problem of disorder of a large amount of boundary points of a riverway is solved; through a finite riverway monitoring section terrain, based on a weight interpolation method, quick generation of a riverway terrain is realized; and the terrain is generated throughriverway interpolation, and accurate supplement of a riverway section is realized by utilizing a distance between a to-be-supplemented section and a known sampling elevation section of the riverway, and a gradient change. According to a characteristic that the scattered boundary points of the riverway and terrain elevation sampling data cannot meet riverway hydrodynamic calculation precision requirements, the modes of riverway boundary fitting, riverway terrain interpolation and riverway sampling elevation section supplement are adopted, the characteristics of the natural riverway course and the terrain change are fully considered, and the terrain interpolation errors are effectively reduced.

The invention provides a Bayer color image interpolation method based on direction flag bits. The method includes the steps that firstly, unknown green components are restored, gradients of each pixel point in four directions are detected through edge detection operators, direction flag bit information of each pixel point is determined according to the detected gradients, the chromatic aberration coefficient of each pixel point and an adjacent pixel point is calculated, and interpolation restoration is conducted on the unknown green components according to the direction flag bit information and the chromatic aberration coefficient. After all the green components of a whole image are restored, all unknown red and blue components are finally restored based on a chromatic aberration method, and then color interpolation conducted on the Bayer image is finished finally. Compared with a traditional method that single-channel independent interpolation is conducted only by detecting horizontal and perpendicular edges, on the basis that the low complexity and the high image quality of an existing method are kept, interpolation accuracy is further improved, and the method is more suitable for human eye observation and provides a foundation for high-accuracy image restoration in the following process.

An offset error, an amplitude error, a phase error and a third harmonic component contained in two-phase sinusoidal signals are removed using relatively simple digital computations. An offset error contained in two-phase sinusoidal signals with a phase difference output from an encoder is detected and corrected. Then, an amplitude error contained in the offset-corrected two-phase sinusoidal signals is detected and corrected. Subsequently, a phase error contained in the amplitude-corrected two-phase sinusoidal signals is detected and corrected. Further, a third harmonic distortion contained in the phase-corrected two-phase sinusoidal signals is detected and corrected. Each correction step includes detecting an error from an ideal Lissajous waveform contained in the corrected two-phase sinusoidal signals, and adding the detected error to an accumulatively added last value to yield a new correction coefficient, thereby dynamically updating the correction coefficient.

The invention relates to a wave number field amplitude preservation wave field separation method based on a staggered mesh finite difference algorithm. The method includes the steps that the staggered mesh finite difference algorithm is used for conducting elastic wave field numerical simulation, the Fourier transform is used for transforming a wave field snapshoot from a spatial domain to a wave number field, an interpolation operator of the wave number field is used for interpolating a velocity component to the same grid node, a normalization wave number is used for conducting amplitude preservation wave field separation, and the Fourier inversion is used for transforming a separated result to the spatial domain to obtain amplitude preservation P waves and S waves. According to the wave number field amplitude preservation wave field separation method based on the staggered mesh finite difference algorithm, the staggered mesh finite difference algorithm is used so that high-precision seismic wave field numerical simulation can be achieved; the interpolation operator of the wave number field has high interpolation precision, and thus the parameter value of the same grid node can be well estimated; the normalization wave number is used so that amplitude preservation wave field separation can be achieved, and the wave fields of the amplitude preservation P waves and the S waves are obtained; due to the fact that wave field separation is conducted in the wave number field, and relative to the Fourier transform and the Fourier inversion, the calculated amount can not be increased obviously in wave number field interpolation.

The invention discloses a Kriging space interpolation method based on multi-scale wavelet support vector machine optimization which comprises the following steps: using a discrete variation function formula to calculate the experimental variation function values of all sampling point pairs; using a multi-scale wavelet least squares support vector machine to fit the experimental variation function values to obtain a theoretical variation function model; establishing Kriging space interpolation equations; according to the theoretical variation function model, calculating the Kriging weight coefficient Lambda i; according to the Kriging weight coefficient Lambda i, calculating the regional variation amount estimation value of a to-be-estimated position point; based on the regional variation amount estimation value and the actual value of the to-be-estimated position point, using the mean absolute error (MAE) and the root mean square error (RMSE) to conduct interpolation accuracy evaluation. According to the invention, the optimized Krigine space interpolation method achieves a higher accuracy; therefore, it is possible to evaluate the attribute information of a to-be-estimated position point more accurately and to increase the capability of geographical data to interpret geographical space phenomenon.

The invention discloses a circular synthetic aperture radar imaging method, belonging to the technical field of electronic signal processing. The invention relates to a spatial remote sensing and air-to-ground observation information processing technology, in particular to an onboard circular synthetic aperture radar imaging technology. According to the imaging method, an original oblique plane echo is mapped to the ground plane by solving the inverse of a system kernel function, and the distribution of signals in a wave number domain is obtained by multiplying an azimuth frequency domain with a reference function, so that plane wave approximation is avoided, the problem that the size of an imaging area of the traditional polar format algorithm is limited can be solved, and the imaging of a large imaging scene can be realized; pseudo-polar coordinates are used for replacing rectangular coordinates as an intermediate interpolation transition matrix, and the distribution density characteristic of the signals in the wave number domain is considered, so that the interpolation precision is higher, the obtained image resolution is higher, and the high resolution imaging can be realized; the imaging process only involves one-dimensional interpolation, and fast algorithms such as chirp z transform (CZT) and inverse fast Fourier transform (IFFT) are adopted, so that the method has very high computational efficiency and can realize rapid imaging.

A base station realizing enhancement of the interpolation accuracy of the channel estimate between sub-frames. In a base station (100), a scrambling section (105) carries out scrambling such that a predetermined pilot signal sequence is multiplied by a scrambling sequence containing both a sequence unique to the base station (100) and different with cells and a sequence common to base stations for each chip and generates a pilot sequence containing both a pilot for unicast sub-frame and a pilot for multicast sub-frame, a multiplexing section (106) for time-multiplexing the pilot sequence, the unicast data symbol, and a multicast data symbol for each sub-frame, and an S / P section (107) converts the pilot sequences, the unicast data symbols, and the multicast data symbols sequential serially inputted from the multiplexing section (106) the numbers of which are equal to the number of subcarries included in one OFDM symbol into parallel ones and outputs them to an IFFT section (108).

The invention discloses a self-adaption spatial interpolation method based on spatial feature analysis. The method comprises the steps as follows: a pollutant monitoring value is extracted; an interpolation module is established on the basis of a variation function; a direction feature is introduced to the interpolation module and the variation function; the spatial distribution of a pollutant is judged to be isotropic or anisotropic; a search strategy is set based on all the isotropy and all the anisotropy, so that a reference point is determined; and a pollutant concentration attribute value of an interpolating point is determined according to variation function expression formulas in all directions and the reference point. Compared with the prior art, the self-adaption spatial interpolation method is generated after the spatial features of sample point data are analyzed on the premise that the spatial distribution features of the sample point data are considered, the calculation amount is small, and the interpolation is improved, so that a attribute value of an unknown point of a study area is predicted more accurately. The invention discloses a self-adaption spatial interpolation system based on the spatial distribution features.

Correlation values in the vertical direction, horizontal direction and two diagonal directions are obtained in a pixel signal of RGB Bayer pattern. The correlation values are calculated using G signals. Between a first pair of the vertical and horizontal directions and a second pair of the two diagonal directions, one pair having a greater correlation difference is selected. Then, a direction having a stronger correlation is selected in the selected pair having a greater correlation difference, and pixel interpolation is performed in the selected direction. Alternatively, pixel interpolation is performed following assignment of weights in two directions of the selected pair having a greater correlation difference in accordance with the proportion of their correlations.

The invention provides a motion self-adaptive de-interlacing method based on visual characteristics, comprising the following steps of: (1) continuously storing five interlaced rows of videos, and joining a left point and a right point of each pixel point into motion detection to form an FIR (Finite Impulse Response) filter so as to obtain a motion detection value MV; (2) acquiring an interpolation coefficient alpha according to the motion detection value MV by adopting a dynamic double-threshold-value method; (3) acquiring an intra-field interpolation by adopting an edge difference value, and acquiring an inter-field interpolation by adopting an improved three-point median filtering method; (4) carrying out self-adaptive interpolation on a point to be interpolated according to the results of the interpolation coefficient alpha, the intra-field interpolation and the inter-field interpolation, and finally interlacing with existing lines of a current field to realize line-by-line output. According to the motion self-adaptive de-interlacing method provided with the invention, the low-pass FIR filter is added, and therefore, the motion loss inside a moving object is prevented and noises are effectively reduced; a double-threshold-value dynamic regulating method based on a brightness value is introduced according to the visual characteristics of human eyes, and therefore the subjective effect of de-interlacing is enhanced; and different inter-field interpolation methods are introduced for different pixel points, and therefore the interpolation accuracy of slowly moving pixels is enhanced.

The invention belongs to the field of medical image analysis and application, relates to a method for registering a stereoscopic target image to a template image, and specifically relates to the method for registering a stereoscopic medical image rapidly, accurately and non-linearly based on sparse representation. The sparse combination coefficient can be obtained by utilizing detected mark corresponding points of the template image and the target image and by searching an established deformation field dictionary and corresponding point dictionary. The coefficient can fuse corresponding examples of the deformation field dictionary, so that a final deformation field of the target image is obtained, and the target image is registered to the template image. The method has a relatively-good application in a clinic environment and can be used for registering brain nuclear magnetic resonance images rapidly and accurately in neurosciences, or used for accurately positioning the position of the prostate in prostate cancer radioactive therapy, and can realize more accurate registering more rapidly.

The invention discloses a soil property interpolation estimation method. The method comprises the following steps of: S1, generating prior probability distribution of soil property to-be-measured variables by utilizing a Kriging method; S2, generating soft data by utilizing a correlational relationship between environment factors and prediction points; S3, updating the probability distribution of the soil property to-be-measured variables by utilizing a BME method; and S4, drawing a soil space property map by utilizing the probability distribution of soil the property to-be-measured variables. According to the method, the Kriging method which is simple to operate and mature and a Bayesian maximum entropy method which is accurate and reasonable are combined, so that the interpolation process is more simple and convenient and interpolation result is more reasonable.

A third harmonic distortion corrector is equipped for correcting a third harmonic distortion contained in a two-phase sinusoidal signals with different phases output from an encoder. A third harmonic calculator / detector calculates the amplitude a3 and the phase φ3 of the third harmonic using Fourier analysis, based on change in radius r of the Lissajous waveform output from a r-θ converter. The third harmonic distortion corrector corrects the third harmonic distortion of the two-phase sinusoidal signal A4, B4 based on the amplitude a3 and the phase φ3 of the third harmonic calculated.

A base station realizing enhancement of the interpolation accuracy of the channel estimate between sub-frames. In a base station (100), a scrambling section (105) carries out scrambling such that a predetermined pilot signal sequence is multiplied by a scrambling sequence containing both a sequence unique to the base station (100) and different with cells and a sequence common to base stations for each chip and generates a pilot sequence containing both a pilot for unicast sub-frame and a pilot for multicast sub-frame, a multiplexing section (106) for time-multiplexing the pilot sequence, the unicast data symbol, and a multicast data symbol for each sub-frame, and an S / P section (107) converts the pilot sequences, the unicast data symbols, and the multicast data symbols sequential serially inputted from the multiplexing section (106) the numbers of which are equal to the number of subcarries included in one OFDM symbol into parallel ones and outputs them to an IFFT section (108).

The purpose of the invention is to provide a method for decision of secondary channel equalization of underwater acoustic OFDM. According to the method, a CombMMSE channel estimation is carried out; once equalization is carried out on received data by utilizing a frequency response to obtain post-once equalization data; de-mapping processing is carried out on subcarriers of the post-once equalization data and then estimation of original data is obtained by convolutional decoding or Turbo decoding; coding is again carried out on the decoded data according to an original encoding rule to obtain post-secondary coding data; estimation on block pilot frequency is obtained by taking the estimated data subcarriers as a training sequence and by combining comb pilot frequency subcarriers, so that all subchannels have training data; and then secondary channel estimation is again carried out by utilizing a BlockMMSE algorithm. According to the invention, comb pilot frequency interpolation errors can be substantially reduced; moreover, a good balancing effect can be achieved on the condition that an interval between pilot frequencies is big.

The invention relates to a position detector for detecting object displacement. Two position sensors provide, as outputs, two signals that vary sinusoidally at a pitch of wavelength lambda with respect to a displacement of a target and have phases shifted from each other by 90 DEG . A memory unit has stored therein offset values for the two signals, and two subtractors eliminate the offset values from the two signals, respectively. The two signals after offset elimination are converted into position data in an interpolation calculator. A radius calculator calculates a radius value of the two signals after offset elimination. An FFT calculates offset values based on the position data and the radius values, and the calculated offset values are used to update the values stored in the memory unit. An amplitude ratio correction value and a phase difference correction value for the two signals are updated similarly. By performing elimination of the components that degrade interpolation accuracy at every rotational position, interpolation accuracy is improved.

The embodiment of the invention provides a rainfall data estimation method and device, equipment and a storage medium. The method comprises the following steps: acquiring sample data of each ground rainfall station in a target area, and dividing all the ground rainfall stations into a plurality of station sets based on a step-by-step clustering analysis algorithm; for each station set, calculatinga correlation coefficient between each type of geographic parameters included in the station set and precipitation data of an area where the station set is located; taking a geographic parameter corresponding to the first correlation coefficient as a covariable, and processing the station precipitation data of each ground precipitation station in the station set by adopting a spatial interpolation algorithm to obtain first estimated precipitation data of an area where the station set is located; wherein the first correlation coefficient is a correlation coefficient greater than a preset threshold value in correlation coefficients corresponding to various geographic parameters in an area where the station set is located. The first estimated rainfall data estimated by the rainfall data estimation method is high in interpolation precision, and the precision of rainfall spatial distribution data is improved.

The invention relates to a demosaicking algorithm for a single-sensor camera imaging system, and belongs to the technical field of image processing. The method comprises the following steps of inputting a CFA original image; carrying out interpolation on a green plane of the CFA original image by a five-coefficient FIR filter; adopting a gradient inverse weighting filtering method to carry out thinning processing on the green plane after interpolation; utilizing a green channel for guiding, and respectively carrying out direction weighted interpolation on a red channel and a blue channel respectively; correcting the red channel and the blue channel after interpolation by using a thinning method; and outputting the reconstructed whole full-color image. According to the CFA image demosaicking method, an anti-distortion directional filter is added on the basis of a fixed-direction weighted interpolation algorithm, so that the interpolation precision is high, especially the algorithm has good reconstruction effect on irregular edges and good storage effect on tiny details, the texture detail storage capacity is more excellent, the color of the reconstructed image is more natural, and the phenomenon of false color can be effectively inhibited.

The invention discloses a method for improving ocean gravity field interpolation precision based on a submarine topography three-dimensional optimization principle. The method comprises steps of submarine topography data and a global gravity field model being acquired; constructing a three-dimensional ocean gravity anomaly model according to the acquired submarine topographic data and the global gravity field model; performing interpolation calculation on the three-dimensional ocean gravity anomaly model to obtain a geoid three-dimensional correction model; and according to the geoid three-dimensional correction model, determining a gravity anomaly value at an unknown point in the prediction area to obtain a high-precision and high-spatial-resolution marine gravity anomaly map. According to the method, the submarine topography is introduced into a common two-dimensional Kriging formula, a novel submarine topography three-dimensional optimization method is constructed, the precision loss is minimized while the spatial resolution of the global marine gravity anomaly map is improved, the interpolation precision is high, the calculation speed is high, and an effective basis is providedfor improving the submarine gravity matching navigation precision.

The invention provides a high-precision fast image interpolation method based on texture edge self-adaptive data fusion. The high-precision fast image interpolation method comprises the steps of first, obtaining the pixel gray-level variance of a point to be interpolated in the2*2 neighborhood of a corresponding point in a source image, comparing the pixel gray-level variance with a set threshold, and determining the type of the region where the corresponding point is positioned; interpolating a gray-level flat region using a simple and fast bilinear interpolation algorithm; and in an edge texture region, calculating estimated values of the closest 12 pixel points of the point to be interpolated in four directions of horizontal, vertical and diagonal directions in the 4*4 neighborhood of the corresponding point in the source image along the four directions, and then conducting data fusion by combining two weight factors of the direction gray-level gradient and vertical interpolation distance, to obtain the final interpolation. The invention can meet the requirement of high-precision and fast image interpolation.

The invention provides an interpolation type automatically identified interpolation control method. The method comprises the steps that graph collection equipment and matlab software are adopted for obtaining machining position spot information; a group of constant primary functions are constructed according to the B-spline theory, a control point is subjected to inverse calculation, and the curvature change of a machining path is calculated according to the B-spline equalizing parameter theory; the interpolation type of the machining path is automatically identified according to features of the curvature change; a speed limit curve of a spline interpolation section is calculated according to chord errors, a speed limit value obtained according to the chord errors and a given maximum limiting speed are judged, the minimum value is selected, and then a new speed limit curve is formed; a characteristic value of a circular interpolation section and a characteristic value of a linear interpolation section are calculated, and then corresponding interpolation calculation is conducted. According to the interpolation type automatically identified interpolation control method, the interpolation calculation is conducted according to the B-spline theory of the constant primary functions, so that the machining accuracy and efficiency are effectively improved.

The invention discloses a three-dimensional geological attribute model space-time interpolation method and system. The method comprises the following steps: generating a three-dimensional geological structure model according to topographic data, drilling data and geological profile data; partitioning the to-be-interpolated region to obtain a plurality of three-dimensional geological blocks; sequentially performing horizontal space interpolation and vertical space interpolation on the geological acquisition point attribute data corresponding to each three-dimensional geological block to obtainthree-dimensional space attribute data; constructing a complete time sequence, and performing modeling analysis and interpolation on the complete time sequence by adopting a summation autoregressive moving average model to obtain time attribute data; and fusing the three-dimensional space attribute data and the corresponding time attribute data by adopting a covariance model to obtain a three-dimensional geological attribute model. According to the method, the interpolation precision can be improved, and the integrity of space-time data after interpolation is ensured.

A position detector includes detection coils for outputting two sinusoidal signals that have phases shifted from each other by 90 degrees; subtractors for eliminating offset components included in output signals DCA and DSC output from the detection coils; an interpolation calculator for converting the two signals DCA and DSC in which the offset components have been eliminated into position information IP; a radius calculator for calculating a root-sum-square of the two signals DC and DS output from the detection coils; correlation calculators for respectively multiplying a fluctuation component RDA of an output from the radius calculator by the signals DCA and DSC in which the offset components have been eliminated; low-pass filters (LPFs) for extracting DC components of output values output from the correlation calculators; and an outputter for outputting offset components including offset displacement fractions based on output values COMDC and SOMDC output from the LPFs.