108 results about "Vector projection" patented technology

Systems and methods are provided herein for improving the selectivity and productivity of sensors via digital signal processing techniques. According to one illustrative embodiment, in an electrochemical method for monitoring of a select analyte in a mixed sample with an interfering analyte, an improvement is provided that includes applying a large amplitude potential stimulus waveform to the sample to generate a nonlinear current signal; and resolving a signal contribution from the select analyte in the generated signal by a vector projection method with an analyte vector comprising a plurality of real and imaginary parts of one or more Fourier coefficients at one or more frequencies of a reference current signal for the select analyte.

Exemplary spatial-input-based cursor projection systems and methods are disclosed herein. An exemplary method includes a cursor projection system detecting spatial input provided by a user within a physical user space associated with a display screen, determining that the spatial input is associated with a request for cursor projection, and mapping the spatial input to at least one cursor position on the display screen based on at least one of a plane projection heuristic and a vector projection heuristic. Corresponding systems and methods are also disclosed.

A face meta-data creating technique in which the description length is short and which is used to extract the face feature for face recognition immune to the local error. An area cut-out section (121) cuts out a local area of a face image. Frequency feature extracting means (122) extracts the frequency spectrum of the local area. Vector projection means (123) projects the obtained frequency feature onto a partial space to extract the face feature of the local area. Aface meta-data unit (12) extracts the face features from local areas cut out in different positions, thus creating face features as face meta-data.

The invention provides an inverse-kinematics universal solving method of a robot with multi-degree of freedom. The common space theory is used for setting a universal kinematical equation of an nR robot, the weighted space vector projection method is used for analyzing the relationship between space vector projection values and revolute joint angles of a space robot, projection weighted values of joint vectors on robot tail end vectors are used as the basis for regulating the tail end pose of the robot, and projection weighted values of joint vectors are determined to achieve half-analytic solution of the inverse kinematics. The method achieves kinematical salvation of the nR robot and also finishes the space obstacle avoidance task. The method can be widely applied to series type space nR robots, has the advantages of being high in calculation speed and high in solving precision, provides control input parameters for series type robots, and meets the requirement for robot kinematics solving operation on industrial sites.

Automatic face recognition. In a first example embodiment, a method for automatic face recognition includes several acts. First, a face pattern and two eye patterns are detected. Then, the face pattern is normalized. Next, the normalized face pattern is transformed into a normalized face feature vector of Gabor feature representations. Then, a difference image vector is calculated. Next, the difference image vector is projected to a lower-dimensional intra-subject subspace extracted from a pre-collected training face database. Then, a square function is applied to each component of the projection. Next, a weighted summation of the squared projection is calculated. Then, the previous four acts are repeated for each normalized gallery image feature vector. Finally, the face pattern in the probe digital image is classified as belonging to the gallery image with the highest calculated weighted summation where the highest calculated weighted summation is above a predefined threshold.

The invention relates to distortion and perspective correction of vector projection display. A method to represent graphical images upon a transparent windscreen head up display of a vehicle describing an operational environment for the vehicle includes monitoring data describing critical information in the operational environment for the vehicle, monitoring a location of a viewpoint of an operator of the vehicle, determining a desired graphic to represent the critical information in a viewing space based upon the data and the viewpoint, transforming the desired graphic in the viewing space into a projected graphic in a projection space defined by the surface of the windscreen, transforming the projected graphic in the projection space into patterns of projected light in a projector space, and generating commands to a graphics projection system based upon the patterns of projected light.

RFID readers configured to transmit a radio frequency signal include a sub-orthogonal self-jammer cancellation circuit that generates two or more distinct phase variants of the transmit signal, selects two of the phase variants with a vector projection of one of the selected phase variants on another of the selected phase variants being substantially greater than zero such that a canceling signal comprising a combination of the at least two phase variants is substantially opposite in phase to a self-jamming signal, and selects amplitudes for the at least two selected phase variants such that the canceling signal is substantially equal in amplitude to the self-jamming signal. The canceling signal is then combined with the self-jamming signal to reduce the amplitude of an RF signal received by a receive circuit.

The invention relates to the field of digital image measurement, and proposes a plant three-dimensional measurement method and system based on PTZ camera system parameters and video frames. The method comprises the steps: S1, the calibration of PTZ camera system parameters: an axial image distance, image space and object space corresponding coefficients, an image shift rate pitching value fitting equation and coefficients; S2, a corresponding image point rectification model: an inter-frame image vector conversion model, an optical axis movement vector, a corresponding image point two-dimensional rectification matrix, and differential optimization verification; S3, point cloud world coordinate algorithm: a corresponding image point three-dimensional matrix, an inter-frame double-optical-system vector projection relation model, a PTZ camera system movement vector measurement model, three-dimensional point cloud coordinate obtaining, and a gray scale material correction factor; S4, plant local measurement method. The system comprises the following parts: S1, a PTZ camera system parameter obtaining module; S2, a corresponding image point rectification module; S3, a three-dimensional measurement module; S4, a plant local measurement module. Compared with other digital mapping technologies, the method does not need an object space control point, is strong in environmental adaptation, is high in equipment compatibility, and reduces the cost.

The invention provides a mobile robot positioning method and system based on three-dimensional point cloud and visual fusion, and the method comprises the steps: building an environment map, carryingout the fusion of point cloud and visual features, matching a map, and carrying out the positioning. Wherein the environment map is a feature grid map for establishing an environment, each grid in thefeature grid map stores a point set composed of feature points extracted from the point cloud and feature points of the visual image, and a height value, an intensity value and a normal vector projection value are extracted; the point cloud and visual feature fusion is to project feature points extracted from the image to a point cloud space and form joint feature points with point cloud features. According to map matching and positioning, joint feature points are projected to a two-dimensional grid, feature vectors are extracted, the feature grid is matched with the map, a histogram filter is adopted to determine the posterior probability of each candidate pose, and the position of the robot in the map is determined based on the posterior probabilities.

The invention provides a precise target positioning and striking method based on a manned / unmanned aerial vehicle cooperative combat system. The method comprises firstly determining the constitution and the combat flow of the manned / unmanned aerial vehicle cooperative combat system according to the characteristics of a task, and determining fast and accurate positioning as a researched core issue;then introducing a precise target positioning method based on a observation vector projection point, and establishing a complete optimization models according to the distribution of the projection points; and finally, using an optimization tool to achieve a quick search of the optimal solution. The method clarifies the tasks of various aircrafts in the system, fully utilizes the advantages of system combat on the basis of guaranteeing the safety of the manned aerial vehicle, can fast solve the objective function by using the optimization tool, can meet the requirements of precise positioning,and provides the basis for the battlefield precise target striking of the system.

The invention relates to a method for determining a level of interference of a direct current transmission line to geomagnetic field observation. The method comprises the steps of establishing a three-dimensional calculating model of a current magnetic field space of the direct current transmission line and calculating the projection of a vector of the current magnetic field in the direction of a geomagnetic observation factor. Specifically, the method comprises the following steps: with a line span as a minimum calculating unit, establishing the three-dimensional calculating model of the current magnetic field space according to the longitudes, latitudes and altitude coordinates of all pole towers of the direct current transmission line and all geomagnetic stations in difference places based on a magnetic-field vector superposition principle; projecting the calculated vector of the current magnetic field in the direction of the geomagnetic field observation; and finally, acquiring an additional value of the current magnetic field of the direct current transmission line to the geomagnetic field observation, namely the level of the interference of the direct current transmission line to the geomagnetic field observation.

The invention discloses a method for imaging an actual aperture foresight on basis of subspace projection, which mainly solves the high resolution imaging problem of a right ahead object of a flightpath. The method has the detection processes that: 1) radar beams are sent out at equal intervals for carrying out sequence overlap scanning on a ground monitoring area to obtain the radar return data; 2) a modular arithmetic is utilized to extract the intensity vector of the return data; 3) the autocorrelation matrix of the intensity vector of the return data is gained; 4) eigen decomposition is carried out on the autocorrelation matrix; 5) the corresponding eigenvector of a small eigenvalue is used for forming a noise subspace; 6) a pattern search vector is defined; 7) the pattern search vector is projected into the noise subspace; 8) the peak values of a spatial spectrum function are calculated; and 9) the number of the signal is determined according to the number of the peak values of the spatial spectrum function for realizing foresight imaging. The method has the advantage of improving the resolution precision of an adjacent target in a main lobe, and can be used for an airborne radar monitoring system in the imaging field for realizing the detection and the recognition for a target on a track line.

In one embodiment of the present invention, motion compensated interpolation is performed by locating full frame conceal and reveal areas, determining intermediate frame occlusion areas of an interpolated frame of the displayable output by locating intermediate frame conceal areas based on projected locations of pixels within the full frame conceal areas using primary forward motion vectors and information about a time slot for the interpolated frame, and by locating intermediate frame reveal areas based on projected locations of pixels within the full frame reveal areas using primary backward motion vectors and information about the time slot for the interpolated frame. The intermediate frame conceal areas are then modified by projecting locations of pixels using secondary forward motion vectors and the intermediate frame reveal areas are modified by projecting locations of pixels using secondary backward motion vectors.

Similarities between simplex projection with upper bounds and L1 projection are explored. Criteria for a-priori determination of sequence in which various constraints become active are derived, and this sequence is used to develop efficient algorithms for projecting a vector onto the L1-ball while observing box constraints. Three projection methods are presented. The first projection method performs exact projection in O(n2) worst case complexity, where n is the space dimension. Using a novel criteria for ordering constraints, the second projection method has a worst case complexity of O(n log n). The third projection method is a worst case linear time algorithm having O(n) complexity. The upper bounds defined for the projected entries guide the L1-ball projection to more meaningful predictions.

The invention relates to a robust broadband self-adaptive beamforming method used for ultrasound imaging. The method comprises the steps that acquired ultrasonic echo data are converted from time domain to frequency domain, and band dividing is carried out; the covariance matrix of each subband divided from the band is calculated; according to the acquired covariance matrix, a feature space decomposition method is used to project an assumed steering vector into a signal subspace; a convex optimization method is used to estimate a true steering vector; the basic principle of a minimum variance method is used to acquire the beamforming processing result of each subband space; and the beamforming processing results of subband spaces are superimposed and are converted to time domain to acquire a final imaging output result. According to the invention, the broadband characteristic of an ultrasonic echo signal is fully used; the steering vector in real environment is reconstructed in frequency domain, so that the steering vector can have a robust performance in the case of phase distortion; and the ultrasound imaging quality can be improved under a non-homogeneous media.

The invention discloses a feature extraction method based on a single-channel signal blind-separation rolling bearing. Frequency slice wavelet transformation is performed on an original vibration signal, an energy spectrum of the signal is obtained, selection of a wavelet basis and selection of a slice are not relied on, and the problem that wavelet transformation frequency band selection is limited is also overcome. The number of signal sources is determined through adoption of a principal component analysis method, and the problem that a clustering conclusion is obtained difficultly when a sample is large is solved. A dimension-reduction vector projection matrix is obtained according to principal component analyses in a projection manner, an influence of signal sparseness is prevented, and then an underdetermined problem is converted into a properly posed problem. Furthermore, fault feature extraction of a source signal having some correlation also can be effectively achieved.

The invention discloses a water body modeling method for a shallow water equation model with optimized parameters. According to the method, first, a three-dimensional dynamic coordinate system is constructed, and the shallow water equation model with optimized parameters is derived; when the model is solved, a reverse path tracking method and a method of characteristics are combined to solve an advective item in an equation, a vector projection method and a Fourier transformation method are combined to solve the effect of external acting force on a water body, and therefore a velocity field and a height field are updated; next, boundary check is performed, a boundary truncation method is adopted to process mesh points beyond a boundary; and last, the height field is drawn, and a next time period is processed cyclically. Compared with a traditional shallow water equation, when the contact surface between the water body and a solid is excessively steep, a water body model can be constructed more vividly and accurately, and the velocity of average 24.9 frame / second can be reached in the water body modeling simulation process; compared with a traditional method, the velocity is increased by 29.016%, and real-time simulation can be realized basically.

The invention provides a traffic network balanced calculation method used for satisfying a trip cruising requirement. Under the condition that an energy charging station exists in a road network, a traveler selects paths of a formed full path, a subpath, a pure subpath, a feasible subpath and the like, on this basis, a traffic network balanced model satisfying the trip cruising requirement is constructed, and a vector projection method is adopted in combination with a distance for satisfying the cruising requirement to limit the shortest path algorithm so that the model can be solved. The model can be solved, so that a flow distribution condition after the energy charging station is laid in the network is obtained, in an initial developmental stage of charging vehicles, the investment in construction of the energy charging station is large, according to the traffic network balanced calculation method used for satisfying the trip cruising requirement, powerful quantitative tools for network evaluation after planning and laying of the energy charging station can be provided, and a basis is provided for scientifically, reasonably and optimally selecting laying sites of the energy charging station.

A system and method for assessing patient movement for Parkinson's disease includes capturing a video of a subject performing a finger tapping sequence comprising a predetermined number of open and close periods. According to an exemplary embodiment, a system and method includes extracting a region of interest for each frame of the video and generating a projection of the region of interest for each frame of the video using perpendicular vector projections in a direction or plurality of directions.

The invention provides a spacecraft optical sensor view field analysis method based on vector projection. The spacecraft optical sensor view field analysis method based on vector projection comprises the steps that firstly, in a satellite model with the optical sensor configuration and layout design completed, the center coordinate of a sensor view field, the coordinates of all target points on the shielding edge of a shielding object, and the included angles between all axes of a spacecraft body system and all axes of a sensor measurement coordinate system are obtained, and a body system-to-measurement coordinate system transformation matrix is obtained; secondly, the coordinates of all target vectors of the shielding edge in the sensor measurement coordinate system are calculated, and the polar coordinates of all the target vectors of the shielding edge in the sensor measurement coordinate system are obtained; thirdly, the criterion is formed according to a shielding area, and a shielding area result is obtained; fourthly, the component of the sun-direction vector in the body coordinate system under a specific posture track condition is obtained, and the polar coordinates of the sun-direction vector in the sensor measurement coordinate system are obtained; and finally, the sun shielding effectiveness and the view field irradiation condition are judged according to the criterion.

A method for using a numerical method to design a sequence for code modulating data is described. An input multiple input multiple output signal is determined. A nearest tight frame to one or more given structured vectors is obtained. One or more structured vectors is obtained from the nearest tight frame. The one or more structured vectors is projected onto the space of circulant matrices. One or more classes of matrices that indicates the design of the sequence is outputted. Data is code modulated using the designed sequence.

The invention relates to an electric system three-phase imbalance disturbance source positioning method. The method includes the steps of firstly, establishing an equivalent circuit diagram for positioning a three-phase imbalance disturbance source; secondly, calculating negative-sequence voltages produced by the upstream side and the downstream side at a public connection point; thirdly, calculating imbalance indexes contributed by the negative-sequence voltages on the basis of a vector projection method; fourthly, positioning the imbalance source. By means of the method, the three-phase imbalance disturbance source in an electric system can be effectively positioned according to three-phase voltage and current data obtained at the public connection point through measurement; the position of the three-phase imbalance disturbance source is judged through the phasor projection method based on the negative-sequence voltages produced by the upstream side and the downstream side at the public connection point, and the method is easy to understand and implement.

The invention discloses a submatrix-level OP wave beam forming method based on covariance matrix normalization. The method can be used to effectively inhibit interference, make a main lobe of a self-adaptive directional diagram conformal, reduce side lobes the self-adaptive directional diagram and obtain higher output SINR and convergence speed. The method comprises that submatrix-level reception signals are normalized, and a corresponding normalized sampling covariance matrix is calculated; the amount of interference signal sources is estimated by utilizing the MDL criterion, and further an interference subspace is obtained; and finally, the static weight vector is projected to an orthogonal complement space of the interference subspace to obtain a self-adaptive weight vector.

A method for creating an efficient scan loop for displaying a vector projection graphic upon a substantially transparent windscreen head-up display includes determining a plurality of candidate scan loops to create a desired vector projection graphic, determining an efficiency metric for each of the plurality of candidate scan loops, determining the efficient scan loop for displaying the vector projection graphic based upon comparing the efficiency metrics, and utilizing the efficient scan loop to create the desired vector projection graphic upon the substantially transparent windscreen head-up display.

The invention discloses a method for measuring resistive current of a metal oxide lightning arrester. The method comprises steps of (1) utilizing an electric field sensor board to collect a voltage signal, (2) utilizing a coil sensor to collect a leakage current signal on the bottom of the lightning arrester, (3) performing amplification and filtering on the collected voltage signal and the current signal, (4) calculating a third harmonic value of the resistive current of the lightening arrester according to a capacitative current method and calculating a fundamental wave value of the resistive current of the lightning arrester according to a vector projection method. The invention adopts the electric field induction method to collect the induction quantity of the voltage applied on two ends of the lightening arrester so as to safely obtain the fundamental wave of the resistive current of the lightening arrester which is running on line and the third harmonic value.

The invention discloses a health assessment method for a diesel engine main bearing, and the method comprises the steps of collecting vibration signals of the main bearing under different faults, and obtaining a visual phase trajectory diagram through phase-space reconstruction and main vector projection; building a deep convolutional neural network model; labeling various fault phase trajectory diagrams, creating a training set, and inputting the training set into the model for learning; when the cross entropy loss function is minimum, stopping iteration, and storing the diagnosis model; on the other hand, collecting vibration signals of various fault main bearings in different health states, calculating and counting the maximum Lyapunov exponent mean value, and using the maximum Lyapunov exponent mean value as a health assessment standard. During evaluation, health evaluation is carried out according to a corresponding health evaluation standard on the basis of a principle of proximity aiming at the fault type. According to the invention, on-line comprehensive monitoring of the service state of the main bearing can be realized, the maintenance mode of the main bearing can be promoted from regular replacement to condition-based maintenance, and the economic benefit can be obviously improved.