Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

79results about How to "Reduce the number of sampling points" patented technology

Low orbit satellite multi-sensor fault tolerance autonomous navigation method based on federal UKF algorithm

The invention relates to a multi-sensor autonomous navigation method for the low-orbiting satellite with fault-tolerance function and based on federated UKF algorithm, belonging to satellite autonomous navigation method. The method comprises the following steps of: constructing an orbital dynamics equation of earth satellite in a rectangular coordinate system; constructing a subsystem measurement equation with the output values of a star sensor and an infrared earth sensor as measurement quantities; constructing a subsystem measurement equation with the output values of magnetometer and a radar altimeter as measurement quantities; constructing a subsystem measurement equation with the output value of an ultraviolet sensor as measurement quantity; selecting a Sigma sampling point; constructing a predictive equation and an update equation of discrete UKF algorithm; respectively and independently performing Sigma sampling point calculation of each subsystem, and performing predictive update and measurement update; determining whether the output of each sub-filter is valid according to the predicted filter residual, isolating in case of malfunction, otherwise, inputting the filter result to a main filter for information fusion; constructing a non-reset federated UKF filter equation based on the UKF algorithm; and outputting earth satellite state estimated value X and variance matrix P thereof according to the steps.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Vertical switching method of isomerization network fusion system based on fuzzy neural network

The invention provides a heterogeneous network involvement system vertical switch system based on a fuzzy neural network which mainly includes three phases: pre-adjudging pre-treating, fuzzy neural network treating and vertical switch adjudging. Firstly, a signal point need to post-treated is reduced through pre-adjudging and pre-treating, the system cost is reduced; secondly, a group of sluggish level value hy and a residence time value tdw are generated dynamically according with a signal intension difference value DRSSk received by the fuzzy neural network theory colligating two networks, a moving current dirk of a mobile terminal MT relative to WLAN network access point AP, and a movement velocity v and WLAN network present usable band BW; finally, a switch factor is adjudged whether satisfying a switch touching condition according with hy and tdw generated by the fuzzy neural network, and an optimizing network is selected. The method solves problem that MT with multi-network access technique selects the optimizing network in the heterogeneous network involvement system through the vertical switch method.
Owner:SOUTHEAST UNIV

Device and method for correcting error estimation of analog-digital converter

ActiveCN104993827AThe number of effective sample points is smallReduced duration requirementsAnalogue-digital convertersAnalogue/digital conversion calibration/testingNumerical controlDigital down converter
The invention provides a device and a method for correcting error estimation of an analog-digital converter. The method comprises the steps as follows: generating a control signal to finely adjust a numerical control simulation time delay unit according to a correction parameter initial value which is set in advance to adjust time delay amount and correct clock phase error among channels; correcting gain error among channels according to the correction parameter initial value and generating a totality correction signal, buffering the totality correction signal and triggering a counting unit to count, simultaneously calling the totality correction signal in a cache and generating an initial estimation result by using a circular correlation method; setting enabling ends of a low pass filter accumulation unit and a correction parameter updating unit while counting to a preset value, generating the error estimation with the initial estimation result and latching, updating a clock correction parameter and a gain correction parameter according to a gradient descent method, and latching the clock correction parameter and the gain correction parameter, and resetting to correct circulation estimation. The device and the method of the invention improve the estimated accuracy and quickens convergence rate of the estimation correction under the condition of using few effective sample points.
Owner:NO 24 RES INST OF CETC

Demodulation method and device for optical distance variation of optical fiber interferometer sensor

The present invention provides a demodulation method for the optical distance variation of an optical fibre interferometer sensor, including steps of (1) detecting the spectrum of the optical fiber interferometer sensor; (2) transmitting the detected spectrum to a computer for a Fourier transformation or Z spectrum conversion to obtain an amplitude spectrum and a phase spectrum of an optical fiber interferometer sensor reflected signal; (3) obtaining an approx center frequency of the optical fiber interferometer sensor from the amplitude spectrum and then fixing the frequency point to monitor the change of the point phase; obtaining the optical distance change of the optical fiber interferometer sensor by the phase spectrum. By monitoring the phase change around the center frequency point in the phase spectrum after the optical spectrum and the frequency spectrum conversion of the optical fiber interferometer sensor, it is capable of obtaining the optical distance change of the interferometer sensor, comparing with the traditional detection of the change of the intensity frequency spectrum center frequency, the sensor center frequency point of the phase spectrum is more sensitive to the optical distance difference, thus the invention has a high sensitivity or resolution.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Inhomogeneous sensor array broadband signal direction-of-arrival estimation method

The present invention discloses an inhomogeneous sensor array broadband signal direction-of-arrival (DOA) estimation method. The method comprises the following steps of: S1, performing sliding windowfast Fourier transform of a sample sequence in an inhomogeneous sensor array, and constructing an actual value weighting sample covariance vector yl; S2, constructing a corresponding over-complete array flow-pattern matrix [Phi]l; S3, employing the actual value weighting sample covariance vector yl and the over-complete array flow-pattern matrix [Phi]l to set an initial value [gamma]init of a space joint sparse representation vector [gamma] and an initial value [lambda]init of a regularization parameter [lambda]; S4, employing the actual value weighting sample covariance vector yl and the over-complete array flow-pattern matrix [Phi]l to update the space joint sparse representation vector [gamma] and the regularization parameter [lambda]; S5, when the [gamma] obtained through the ith iteration and the [gamma]<i+1> obtained through the (i+1)the iteration meet ||[gamma]-[gamma]<i+1>||2 / ||[gamma]||2<[alpha] or achieve the maximum iteration times Pmax, stopping the iteration, or else, returning the step S4; and S6, searching all the peak values of the space joint sparse representation vector [gamma], and outputting DO estimation values of the broadband signals.
Owner:SUZHOU UNIV

Image rendering method and device based on volume rendering

An embodiment of the invention discloses an image rendering method based on volume rendering. The image rendering method comprises the steps of: subjecting a preset geometry to spherical slicing; determining sampling points on spherical slices based on a current viewpoint, calculating texture sampling coordinates of the sampling points, and sampling a texture density map corresponding to a rendering body according to the texture sampling coordinates, so as to obtain color values of the sampling points; and superposing the color values of the sampling points in the same viewing ray of the current viewpoint on the spherical slices, so as to obtain a rendered image. The invention further discloses an image rendering device based on volume rendering. By adopting the image rendering method and the image rendering device, the GPU consumption time is shortened, the effect and efficiency of rendering the target geometry are greatly improved, and the requirement for processing capacity of a video card is decreased; and special processing is carried out for sea of clouds traversing, upward view of the sea of clouds and an environment below the sea of clouds when rendering the sea of clouds, so that the sea of clouds and the scene environment are integrated, and the effect is realistic and authentic.
Owner:TENCENT TECH SHANGHAI

Methods and systems for ultrasonic imaging and microbubble imaging of plane waves based on compressive adaptive beam forming

The invention provides methods and systems for ultrasonic imaging and microbubble imaging of plane waves based on compressive adaptive beam forming. The compressive adaptive beam forming algorithm is adopted, each array element receives useful frequency point information of data, and the useful frequency point information is all centralized in effective bandwidth of an ultrasonic echo signal, so that the data in the effective bandwidth is subjected to compressive sensing treatment instead of the whole frequency domain, and on the basis of frequency-domain adaptive beam forming, the number of frequency-domain sampling points is reduced and calculated amount required during beam forming is reduced; plane wave imaging is adopted, so that a problem of transient change of microbubbles in conventional ultrasonic imaging is solved; the whole microbubble distribution region is covered by emitting planar ultrasonic waves once, so that a microbubble distribution image in the whole imaging plane is obtained; microbubble imaging of ultrasonic plane wave emission is adopted, so that the time resolution on microbubble imaging is very high.
Owner:XI AN JIAOTONG UNIV

TIADC mismatch error calibrating method based on adaptive filtering and Taylor series

The invention discloses a TIADC mismatch error calibrating method based on adaptive filtering and a Taylor series. The TIADC mismatch error calibrating method comprises the steps of collecting signals of channels, estimating a biased error of a sampled signal of the channel 1, calibrating the biased error of the channel 1, performing fractional delay filtering, estimating a gain error and a time phase error of the channel 1 by employing an adaptive filter, and calibrating the gain error and the time phase error of the channel 1. The TIADC mismatch error calibrating method has the characteristics of few points that needs to be sampled, less calculated amount and the like, and is applied to a portable collection device such as a portable oscillometer, etc.
Owner:NORTH CHINA INST OF AEROSPACE ENG

Vehicle-mounted manhole cover detection method based on arc-point combination

The invention discloses a vehicle-mounted manhole cover detection method based on arc-point combination. The method comprises the following steps that images shot by an automobile data recorder are converted into grey-scale images, and an edge extraction algorithm and a thinning algorithm are used for contour extracting and thinning; according to connectivity and regional relationships among points, the contour is broken off from cross points, segmental arcs are classified according to concavity and convexity of each segmental arc, and linear segments and small segmental arcs are removed; candidate segmental arcs are divided into groups, arcs which meet quadrant constraint and central constraint are classified, and a central point position is determined by central point constraint; points are selected from segmental arcs in different quadrants and least square fit of an ellipse is carried out; false removal and screening are conducted on a fitted ellipse, and the position of a manhole cover is judged. According to the vehicle-mounted manhole cover detection method based on the arc-point combination, segmental arc processing is used as preprocessing of the point fitting, most of the irrelevant interference is removed at the complicated road background, the probability of invalid random sampling is excluded, and the detection speed of road surface manhole covers is improved.
Owner:XI AN JIAOTONG UNIV

Method for testing aiming error of radome

The invention provides a method for testing an aiming error of a radome, and belongs to the technical field of electromagnetic fields and microwaves. According to the method, equi-scale scanning of atraditional zero-searching device is improved into variable-scale scanning, namely, a zero depth position is positioned coarsely via a relatively wide scanning range and a relatively low scanning precision to obtain only a coarse position of the zero depth, further, the scanning range is narrowed and the precision is improved, the number of sampling points is reduced greatly, and the efficiency intesting the aiming error of the radome can be improved greatly. Thus, the traditional equi-scale scanning manner for testing the aiming error of the radome is changed, the difficulty of low testing efficiency of the aiming error is overcome, and the test method has good engineering and application prospects.
Owner:AEROSPACE INST OF ADVANCED MATERIALS & PROCESSING TECH

Panoramic video polygon sampling method and panoramic video polygon sampling method

The invention discloses a panoramic video polygon sampling method and a panoramic video polygon sampling method. The method comprises steps: according to space resolution requirements, uniformly-spaced latitudes are used for dividing a spherical surface into N ring curved surfaces; according to space resolution requirements, L ring curved surfaces located near the equator are uniformly divided into M areas along the equator direction, and each area is corresponding to one sampling point; the other ring curved surfaces are uniformly divided into Mi parts along the equator direction according to an arithmetic sequence, the closer the ring curved surface is to the equator, the larger Mi is, and each part is corresponding to one sampling point; and the calculated average value of light in each area on the spherical surface serves as a sampling value of sampling points corresponding to the area. Sampling points on the spherical surface meet the characteristic that many sampling points are near the equator and few sampling points are at two poles, redundancy of the sampling structure is avoided, and in the same space resolution condition, the number of sampling points is reduced and the data amount after sampling is reduced.
Owner:SHANGHAI GMT DIGITAL TECH

Multi-target direct positioning method for non-circular signals

The invention belongs to the radio signal positioning method technical field and relates to a multi-target direct positioning method for non-circular signals. According to the method, the extended covariance matrix of time-domain signals is obtained according to the non-circular characteristics of the signals and on the basis of a time-domain array signal model; noise subspaces in each time slot are calculated through using the extended covariance matrix; the data of the plurality of subspaces are fused on the basis of the orthogonality of the extended subspaces in each time slot, and therefore, an optimization model for each target position is built; and a Gauss-Newton iterative algorithm is designed to realize the precise positioning of each target sequentially. With the multi-target direct positioning method for the non-circular signals provided by the invention adopted, multi-target position estimation accuracy can be improved. The advantages of the method in positioning accuracy become more obvious with the decrease of a signal-to-noise ratio or the decrease of sample points; and the method can process a larger number of targets.
Owner:THE PLA INFORMATION ENG UNIV

Early fault detection system of low-speed heavy-load machine

The invention relates to an early fault detection system of a low-speed heavy-load machine. According to the technical scheme, the signal output end 1a of a pressure vibration sensor (1) is connected with the signal input end 2a of an amplifier (2); the signal output end 2b of the amplifier (2) is connected with the signal input end 3a of an ultra-low-frequency phase-locked loop (3); the signal output end 3b of the ultra-low-frequency phase-locked loop (3) is connected with the analogue input end 4a of an analogue-digital converter (4); the digital output end 4b of the analogue-digital converter (4) is connected with a serial port com1 of a computer (5); a piezoelectric element (9) of the pressure vibration sensor (1), a mass block (8) and a circuit board (7) are fixed on the upper plane of a base (11); a housing (6) is fixed at the upper part of the base (11); a band-pass filter (12) is connected with a low-pass filter (14) through a high-pass filter (13); the low-pass filter (14) is connected with the amplifier (2); the band-pass filter (12) is connected with the piezoelectric element (9). The early fault detection system has the characteristics of capability of conveniently extracting weak impact signals, small number of sampling points and accuracy in fault judgment.
Owner:武汉科大电控设备有限公司

Ultra-high harmonic detection device and detection method based on compressed sensing

InactiveCN109164298AAchieve correct detectionReduce frequencyFrequency analysisLow speedFrequency spectrum
The invention provides an ultra-high harmonic detection device and detection method based on compressed sensing. A sensing circuit is installed on a measurement end of a power distribution network, asignal outputted by the sensing circuit passes through a high-pass filter at first, then is mixed with a pseudo-random sequence outputted by a D / A module of a multifunctional data collection card andis sent to a low-pass filter, low-speed sampling of the signal is realized by an A / D module of the multifunctional data collection card, and finally, the signal is uploaded by a USB bus to an upper computer to complete the reconstruction and display of the signal. The high-pass filter is designed to be adjustable in gain and can also condition the signal in addition to filtering the power frequency and other low-frequency signal interference. The low-pass filter is designed to be achieve adjustable in cut-off frequency, and then variable compression ratio detection can be realized. A synchronous trigger module of the multifunctional data collection card can achieve D / A and A / D synchronization, and construct an observation matrix with a phase deviation of 0 to improve the reconstruction precision. The ultra-high harmonic detection device and detection method provided by the invention have the distinct advantages of greatly reducing the sampling frequency and the number of sampling points of a measurement device while ensuring that ultra-high harmonics and the spectral reconstruction thereof are correct.
Owner:SHAANXI UNIV OF SCI & TECH

Magnetic resonance non-Descartes sampling quick rebuilding method

The invention discloses a magnetic resonance non-Descartes sampling quick rebuilding method. The magnetic resonance non-Descartes sampling quick rebuilding method is provided through utilizing the characteristics of the symmetry of sampling tracks and a back compensation grid algorithm, and belongs to the technical field of magnetic resonance imaging. According to the magnetic resonance non-Descartes sampling quick rebuilding method, a back compensation gridding rebuilding algorithm is effective on samples without severe sampling track variation, and additionally, a density compensating function in the back compensating algorithm is only related to the sampling point distribution (i.e. sampling tracks) and is not related to sampling values. The characteristics are combined together, so that the computing speed of the provided new non-Descartes sampling quick rebuilding method is greatly increased than that of a conventional grid rebuilding algorithm, and the rebuilding image quality is not obviously changed.
Owner:SHENYANG POLYTECHNIC UNIV

Local maximum efficacy invariance test spectrum sensing method based on non-circular signal

The invention discloses a local maximum efficacy invariance test spectrum sensing method based on a non-circular signal in a multi-antenna scenario. The method comprises the steps as follows: A, calculating a sampling covariance matrix according to a received signal of the receiving end of a cognitive user, and constructing a corresponding augmented sampling covariance matrix; B, calculating the F norm of the augmented sampling covariance matrix, and constructing the test statistical magnitude; C comparing the test statistical magnitude with a preset threshold, judging that the spectrum is occupied if the statistical magnitude is greater than the threshold, or judging that the spectrum is idle, thus completing detection. By means of the characteristics of the non-circular signal, the correlation structure of the signal is utilized fully. In a multi-antenna scenario, high detection accuracy can be guaranteed, the number of required sampling points is small, and the detection efficiency is high.
Owner:XIDIAN UNIV

Far-field pattern rapid measurement method based on Fourier interpolation

The invention discloses a far-field pattern rapid measurement method based on Fourier interpolation, and solves the problem that the far-field measurement requires a small sampling interval to accurately reconstruct an antenna far-field pattern. The method comprises steps of determining the far-field distance of an antenna to be measured according to the far-field measurement condition of an antenna; determining a sampling interval by using a far-field measurement interval criterion of the antenna to be measured; sampling and measuring the amplitude and the phase of a radiation far field on a certain surface of the antenna, and calculating and obtaining the Fourier expansion coefficient and the far field pattern function of the far field of the antenna to be measured and the amplitude pattern and the phase pattern of the antenna to be measured in sequence, so that the rapid measurement of the far field pattern is realized. According to the method, the directional diagram with any small angle interval is quickly and accurately reconstructed based on the Fourier interpolation method of the band-limited periodic function, and the test efficiency is improved.he method comprises steps of The method is suitable for multi-channel, multi-beam and frequency sweeping tests, the number of sampling points can be greatly reduced, and the test efficiency is remarkably improved.
Owner:XIDIAN UNIV

Multi-scale quantum harmonic oscillator optimization system and method

The invention relates to the field of computational intelligence, and relates to a multi-scale quantum harmonic oscillator concurrent optimization system and method. The method in the invention is composed of three embedded iteration processes: scale iteration, quantum harmonic oscillator iteration and energy level iteration. By adopting the method provided by the invention, sampling points to be compared at each time are fewer and are easier to fully iterate, so the result is accurate. According to the concurrency of the multi-scale quantum harmonic oscillator multimode optimization method, the Multi-scale quantum harmonic oscillator concurrent optimization method is proposed, and the method can be concurrently operated on a cluster. By adopting the concurrent method, the operational speed is effectively accelerated.
Owner:SOUTHWEST UNIVERSITY FOR NATIONALITIES

Radar compression sampling method based on prepulse processing, and radar compression sampling system

InactiveCN105137404ACompression reconstruction probability increaseSuppresses static clutter componentsWave based measurement systemsLow speedLow-pass filter
The invention provides a radar compression sampling method based on prepulse processing, and a radar compression sampling system. The radar compression sampling method and the radar compression sampling system belong to the technical field of radar signal processing. The radar compression sampling method comprises the steps of a first step, performing frequency mixing on an input analog signal by means of an analog pseudo-random sequence, thereby obtaining a mixing signal; a second step, filtering the mixing signal by means of a low-pass filter, and obtaining a filtering signal; a third step, sampling the input analog signal by means of a low-speed A / D converter (ADC), thereby obtaining a sampled digital signal; a fourth step, performing pulse clutter suppression / coherent accumulation processing on the sampled digital signal by means of a moving target indicator (MTI) and a moving target detector (MTD); and a fifth step, reconstructing the signal which is obtained after processing in the fourth step by means of a compression reconstruction algorithm. The radar compression sampling method and the radar compression sampling system have advantages of low complexity, easy realization, etc.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Panorama video octagon sampling method and apparatus

The invention discloses a panorama video octagon sampling method and apparatus. The panorama video octagon sampling method includes the steps: according to a spatial definition requirement, utilizing latitude lines to divide a spherical surface into N annular curved surfaces Oi, wherein i=0, 1, ..., N-1 and N=8K, and K is an integer; utilizing longitudes to divide the annular curved surface Oi into Ti areas, wherein one of the longitudes is a 0DEG longitude; successively marking the obtained areas as Ai, j, and j=0, 1, ..., Ti-1; calculating the average value of the obtained light in every area Ai, j on the spherical surface, and taking the average value as the sampling value Si, j of a sampling point corresponding to the area; and according to the corresponding rules, arranging the sampling values into a 14K*6K matrix. The panorama video octagon sampling method and apparatus enable distribution of the sampling points to satisfy the situation that the sampling points around the equator are more and the sampling points at two poles are very few, thus avoiding redundancy of the sampling structure so as to reduce the number of the sampling points when achieving the same spatial definition.
Owner:SHANGHAI GMT DIGITAL TECH

Correcting calculation method for suspended sediment runoff of river

The invention provides a correcting calculation method for suspended sediment runoff of a river. The correcting calculation method is characterized by comprising the following steps: firstly, calculating average sediment concentration of sections to obtain average value D_CSI and D_CSII of sediment concentrations of two sections; secondly, determining marginal distribution, and calculating joint distribution function parameters: determining marginal distribution functions F1(CSI) and F2(CSII) as well as a parameter theta of a Copula function Ctheta(u, v); thirdly, carrying out interval discrete: equally dividing a value taking interval into n parts, wherein each part h=( D_CSIImax-D_CSIImin) / n, and marking a midpoint of a subinterval [D_CSII(k), D_CSII(k+1)] as xk+1 / 2= xk+h / 2; fourthly, establishing a joint distribution model based on the Copula function; calculating to obtain u= FCSI(xCSI) and v= FCSII(xCSII) as well as an inverse function F<-1>y(v) of y and the Copula function c(u, v) according to given sediment concentrations x_CSI and x_CSII of the sections and the marginal distribution F1(CSI) and F2(CSII); fifthly, correcting the calculated sediment concentration on the basis of conditional expectation. The method has higher applicability; according to the method, the correcting calculation precision of the sediment concentration can be effectively improved, and working intensity of a hydrologic survey is reduced.
Owner:BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION

Turbomachinery aerodynamic performance-blade load optimization method based on machine learning

The invention discloses a turbomachinery aerodynamic performance-blade load optimization method based on machine learning, and the method comprises the steps: determining a turbomachinery working fluid, carrying out the parameterization of a turbomachinery, obtaining an optimization process input variable and an optimization target, and determining the empirical design space of the input variable; performing Bayesian optimization sampling on the turbomachinery in the empirical design space of the input variable according to the optimization target, selecting a working fluid in the optimization sampling process, calculating to obtain an optimization target value, and storing all Bayesian optimization sampling data; constructing a Unet-CNN neural network, and carrying out network training; performing random sampling on optimization process input variables in an empirical design space, constructing a geometric model to perform unsteady CFD calculation, performing post-processing to obtain a high-performance test set and a low-performance test set of the Unet-CNN neural network, and testing the Unet-CNN neural network; and enabling the Unet-CNN neural network passing the test to be used for turbomachinery optimization, and obtaining the optimal turbomachinery structure. According to the method, the cost and time consumption for constructing the proxy model can be greatly reduced.
Owner:XI AN JIAOTONG UNIV

Ellipsoidal drawing collaborative optimization method based on digital earth

The invention discloses an ellipsoid drawing collaborative optimization method based on the digital earth. By using the method, efficient global or large-range volume rendering covering the digital earth can be realized, the average frame rate is 30FPS or above, and the method has a film fluency level. According to the method, the actual calculation number of light sampling points is greatly reduced by constructing the proxy ellipsoid geometry, the data ellipsoid shell three-dimensional grid bounding box and the digital earth ellipsoid and skipping the light sampling points or terminating light sampling in advance (mainly eliminating the sampling points in the earth and on the back of the earth); meanwhile, data of the ellipsoid shell three-dimensional grid are organized into three-dimensional textures, calculation of ellipsoid trilinear interpolation and a transfer function is optimized through efficient texture query based on a GPU, and finally the volume rendering performance facing the digital earth is integrally improved.
Owner:NO 15 INST OF CHINA ELECTRONICS TECH GRP +1

Three-dimensional image registration method based on reselection point strategy and artificial bee colony optimization

The invention discloses a three-dimensional image registration method based on a reselection point strategy and an artificial bee colony optimization, which comprises the following steps: (1) samplinga dynamic point cloud to obtain a sampling point set; (2) generating a certain number of bee colonies and initializing the position of the individual bee colonies; (3) determining the Euclidean transformation moment of each honeybee, and transforming the position of the sampling point set according to the Euclidean transformation matrix; 3) transform that sample point set by the Euclidean transform moments and calculate the objective function value; (5) comparing the variation of the optimal objective function value, and if the variation is smaller than the threshold value for successive times, reselecting the point operation to obtain a new sample point set, otherwise, entering the step (6); 6) if that maximum evolutionary algebra is reach, entering the step 7), otherwise return to the step 3); (7) obtaining the optimal Euclidean transformation moment from the optimal solution of the population; And moving the dynamic point cloud to complete image registration. In this method, the re-selection strategy is introduced into the sampling process and the bee-colony algorithm is combined to effectively reduce the time of image registration and improve the performance.
Owner:TIANJIN UNIV OF COMMERCE

Method for recovering LFM signal under short-time strong interference

The invention discloses a method for recovering an LFM signal under short-time strong interference. The method comprises the following steps: I, designing a reference threshold according to a signal amplitude, detecting the threshold of a received signal, and recognizing the starting and stopping time of the strong interference; II, extracting a random unit array column vector by avoiding an interference moment, and finishing compressed sampling while filtering interference from the LFM signal with short-time strong interference by using the designed matrix; III, processing the processed dataaccording to a sparse component norm maximum value method reconstructed by compressed sensing to obtain a FrFT optimal transformation order p; IV, performing p-order FrFT calculation on the column vector of a unit array to obtain a sparse vector base; and V, reconstructing the signal by using a compressed sensing sparse recovery algorithm based on the sparse vector base to obtain a signal frequency modulation rate and starting frequency. The method can be used for recovering a linear frequency modulation signal for a condition background with short-time strong interference.
Owner:HARBIN INST OF TECH

Method for tracking maximum power point of photovoltaic cell on basis of fuzzy probability

The invention discloses a method for tracking the maximum power point of a photovoltaic cell on the basis of fuzzy probability. The tracking method comprises the steps that N sampling points [ui, P(ui)] are obtained by taking epsilon as a sampling interval, wherein i is a positive integer which is smaller than or equal to N, epsilon ranges from 0.05 UOC / Ns to 0.5 UOC / Ns, UOC represents the open-circuit voltage of the photovoltaic cell, and Ns represents the serial number of the photovoltaic cell; probability functions Pro(i) are solved by constructing a spread function fD and a subordinating degree function fM, results of the probability functions Pro(i) are ordered from large to small, and union sets of Xi corresponding to front probabilities are sequentially selected as the searching range of the maximum power point, so that the sum of the front probability functions Pro(i) is larger than or equal to a probability threshold value delta; the maximum power point[uMPP, P(uMPP)] is solved in the searching range of the maximum power point. According to the method, the defect that close sampling is needed in a global scanning method under the multi-extremum condition is overcome, and the advantages of being high in tracking speed and good in environmental adaptability are achieved.
Owner:HUAZHONG UNIV OF SCI & TECH

Self-adaptive sampling recovery method based on FRI

The invention provides a self-adaptive sampling recovery method based on FRI and relates to the field of information and communication technology. The self-adaptive sampling recovery method aims at reducing the number of sampling points and improving sampling efficiency, thereby improving recovery precision of signals. According to the method, the number of sampling points can be intelligently selected according to specific application scenarios, and the maximum signal recovery precision can be obtained by means of the least number of the points. Under certain application scenarios such as military guided missile navigation signals, the requirement for precision of signals is high, and at the moment, a larger number of sampling points can be selected through an algorithm so that the maximum recovery precision can be obtained. But in other application scenarios such as interphones for civil use, the requirement for signals is not high, and at the moment, a smaller number of sampling points can be selected through a self-adaptive recovery algorithm so that high sampling efficiency can be guaranteed. Meanwhile, the number of kinds of signals which can be processed according to the FRI theory can be increased through the self-adaptive sampling recovery method, so the self-adaptive sampling recovery method can be used for handling not only discrete Dirac flow but also random time continuous signals. The self-adaptive sampling recovery method is applied to self-adaptive sampling recovery occasions of signals.
Owner:HARBIN INST OF TECH

Wireless signal fingerprint establishment method and device

The invention discloses a wireless signal fingerprint establishment method. The method comprises the steps of obtaining at least one wireless signal measurement sample point sampled at preset reference points, wherein the measurement sample points at least comprise measurement location information, serving cell signal strength information and neighbour signal strength information of a serving cell; clustering the measurement sample points according to the measurement location information of the measurement sample points, the serving cell signal strength information and the neighbour signal strength information of the serving cell, thereby forming at least one wireless signal cluster; and generating wireless signal fingerprints corresponding to wireless signal clusters by taking the wireless signal clusters as units. The invention also discloses a wireless signal fingerprint establishment device.
Owner:CHINA MOBILE COMM LTD RES INST +1

Panoramic video hexagonal sampling method and apparatus

ActiveCN107147910AReduce redundancyGood content adjacencyDigital video signal modificationHexagonal samplingComputer science
The invention discloses a panoramic video hexagonal sampling method and apparatus. The method comprises the following steps: dividing a spherical surface into N=6 annular curved surfaces by using latitude lines with equal intervals, making the annular curved surfaces as Oi in sequence, i = 0, and 1 ,... N-1, observing from the angle of the centre of sphere, and arranging the Oi from top to bottom; uniformly dividing the annular curved surface Oi into Ti areas by using meridians with equal intervals; calculating an average value of light within each area on the spherical surface to serve as a sampling value of a sampling point corresponding to the area; and arranging the sampling values in a matrix. By adoption of the sampling method, the redundancy of the sampling structure is avoided, and under the condition of realizing the same spatial resolution, the number of the sampling points is reduced, and the data size after sampling is reduced.
Owner:SHANGHAI GMT DIGITAL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products