104 results about "Shape matrix" patented technology

A wireless combination time, frequency and spectral shaping communications method that transmits data in convolution unit matrices (data frames) of N×N (N2), where generally either all N2 data symbols are received over N spreading time intervals (each composed of N time slices), or none are. To transmit, the N2 sized data frame matrix is multiplied by a first N×N time-frequency shifting matrix, permuted, and then multiplied by a second N×N spectral shaping matrix, thereby mixing each data symbol across the entire resulting N×N matrix (TFSSS data matrix). Columns from this N2 TFSSS data matrix are selected, modulated, and transmitted, on a one element per time slice basis. At the receiver, the replica TFSSS matrix is reconstructed and deconvoluted, revealing the data. The method can accommodate multiple users at once, can adapt to changing channel conditions, and is particularly useful for coping with channel impairments such as Doppler shifts.

A method recovers a 3D model of non-rigid 3D shape and motion of an object directly from an input video of the object by first identifying a set of features on the object in a reference image of the input video. Correspondences are then determined between the set of features in the reference image and corresponding features in each other image of the input video, These correspondences are factored by cascaded singular value decompositions into a motion matrix and a shape matrix. The 3D model can then be extracted from the factored motion matrix and shape matrix. The 3D model includes a linear basis for deformable shape of the object in the input video, and for each image a 3D rotations matrix, deformation coefficients, and translation vectors. A novel video can now be generated from the input video by manipulating the 3D model.

The invention discloses a stress sensor based electronic device functional profile feature point displacement field reconstruction method. The method includes: determining a structural parameter and a material attribute of an electronic device functional profile and distribution positions and the number of stress sensors; acquiring a stress value measured by functional profile stress sensors under the action of service loads; establishing a structural finite element model of a functional profile; performing modal analysis on the functional profile; acquiring a modal shape and a stress modal shape of the functional profile; extracting a stress modal shape matrix corresponding to position nodes of the stress sensors; calculating a generalized modal coordinate; extracting a modal shape matrix corresponding to feature points of the functional profile; and reconstructing displacement of the feature points of the functional profile. Based on a modal analysis theory, the method can use stress values measured by the few stress sensors to reconstruct a displacement field of the feature points of the electronic device functional profile in the condition of unknown structural load information, and can direct structural distortion compensation and electrical performance compensation of the electronic device functional profile.

A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.

The present invention intends to provide a surface-emitting laser light source using a two-dimensional photonic crystal in which the efficiency of extracting light in a direction perpendicular to the surface is high. In a laser light source provided with a two-dimensional photonic crystal layer created from a plate-shaped matrix body in which a large number of holes are periodically arranged and an active layer arranged on one side of the two-dimensional photonic crystal layer, the holes are created to be columnar with a predetermined cross-sectional shape such as a circular shape, and the main axis of each of the columnar holes is tilted to a surface of the matrix body. When provided with this two-dimensional photonic crystal layer, the surface-emitting laser source using a two-dimensional photonic crystal has a Q⊥ value (i.e. a Q value in a direction perpendicular to the surface) of several thousands, which is suitable for an oscillation of laser light, and the efficiency of extracting light is high in the direction perpendicular to the surface.

A method determines a direction of a principal light source in an image. An input image I is acquired of an object illuminated by a principal light source from an unknown direction. The input image includes an array of pixels, and each pixel has an intensity I(x, y). An intensity vector {right arrow over (I)} is constructed from the intensities of the input image. An albedo map ρ is defined for the object. An albedo vector {right arrow over (ρ)} is constructed from the albedo map. A shape matrix N is generated for the object. The albedo vector {right arrow over (ρ)} is multiplied by the shape matrix N to obtain a shape-albedo matrix A. Then, a direction s* to the principal light source is estimated from the intensity vector {right arrow over (I)}, the albedo vector {right arrow over (ρ)} and the shape-albedo matrix A according to an optimizations*=arg⁢⁢mins⁢I→-ρ→-As.

The invention discloses a method for executing layout optimization on experimental model analysis measurable nodes of numerical control machining equipment, which comprises the following steps: (1) obtaining the overall structure modal shape of the equipment and a corresponding modal shape matrix through finite element simulation; (2) determining and selecting a modal shape sensitive component of the equipment and a corresponding shape matrix by utilizing the overall structure modal shape; (3) selecting surface measurable nodes from the modal shape sensitive component, wherein the surface measurable nodes are used as objects to be optimized in layout; (4) performing iteration elimination on the surface measurable nodes by using an effective independence method; and (5) executing linear even node distribution on the modal shape sensitive component by adopting the Shannon's sampling theorem. Through the method for executing the layout optimization on the experimental model analysis measurable nodes of the numerical control machining equipment, the defects in the aspects that the traditional modal testing efficiency is low, the time is long and the like can be overcome, and the number of the measurable nodes and the positions of the measurable nodes can be optimized, and the testing efficiency can be increased on the premise of ensuring natural frequency and shape identification in numerical control machine structure modal testing.

The invention discloses a super high-rise building wind load inverse analysis method based on discrete Kalman filtering. The method comprises the following steps: (1) converting wind-induced response components (displacement or velocity) of limited test floors of a structure into modal wind-induced responses based on actually measured modal shapes of first orders; (2) estimating unknown modal wind-induced response components by using discrete Kalman filtering; (3) identifying the modal wind-induced load of the structure through the estimated modal wind-induced responses (displacement, velocity and acceleration); (4) obtaining the wind load time-history of any floor of the structure by using the generalized inverse of a modal shape matrix. The method can solve the problem that the wind-induced response measuring points of super high-rise buildings are not enough. Wind load inversion results obtained by adopting the method under the influence of structure modal parameter errors, modal truncation errors and measurement noises can still satisfy engineering demands. The research technique provides a useful tool and basis for wind-resistant design of super high-rise buildings and relevant researches.

The invention relates to a cross spectral function-based operational modal analysis experiment method. The method comprises the following steps that: (1), a beam is suspended by elastic ropes and a steel hammer is used for exerting pulsed excitation on the beam at a selected excitation point; (2), response signals generated by a reference point and a response point after the pulsed excitation are collected; (3), band-pass filtering is carried out on the collected signals; (4), a cross-power spectral function between the reference point and the response point is calculated and a matrix equation formed by data of the cross-power spectral function at different sampling moments is constructed; (5), a coefficient matrix is calculated by using the matrix equation so as to obtain a system pole; (6), a modal shape matrix and a modal participation factor matrix are identified; and (7), modal assurance criterion matrix value calculation is carried out; and when the modal assurance criterion value is in a preset reasonable range, a modal parameter of the beam is obtained. In addition, the invention also provides a cross spectral function-based operational modal analysis experiment apparatus. According to the invention, the experiment intensity and time are reduced; and the test efficiency as well as the learning effect of students is also substantially improved.

A method determines a direction of a principal light source in an image. An input image I is acquired of an object illuminated by a principal light source from an unknown direction. The input image includes an array of pixels, and each pixel has an intensity I(x, y). An intensity vector {right arrow over (I)} is constructed from the intensities of the input image. An albedo map ρ is defined for the object. An albedo vector {right arrow over (ρ)} is constructed from the albedo map. A shape matrix N is generated for the object. The albedo vector {right arrow over (ρ)} is multiplied by the shape matrix N to obtain a shape-albedo matrix A. Then, a direction s* to the principal light source is estimated from the intensity vector {right arrow over (I)}, the albedo vector {right arrow over (ρ)} and the shape-albedo matrix A according to an optimization s*=arg⁢ ⁢mins⁢I→-ρ→-As.

This disclosure provides methods, apparatus and systems for performing image processing regression for approximating multidimensional color transformation. According to an exemplary method, a shaping matrix is selected to minimize a cost function associated with a local linear regression representation of the color transformation. In addition, an alternating least squares algorithm is utilized to jointly optimize regression and shaping parameters.

The invention provides a typical ship target identification method based on graded invariance features. At first, the binary entropy and the normalized inertia moment of each image ship target are extracted as the primary feature; and then each image is subjected to wavelet decomposition to form four sub-images, and the weighted Hu moment, Zernike moment, and Fourier descriptor of the each sub-image ship target are extracted to be the secondary feature; the polar coordinate shape matrix of each image ship target is taken as the trinary feature; and all of the features are modified to have the properties of translation, rotation, and scaling invariance. The experimental result of a recognition classifier shows that the algorithm can describe the typical ship targets in satellite remote sensing images in details step by step, and the recognition accuracy is high. The method can be applied to the typical ship target recognition of the satellite remote sensing image database, and is an engineering method that is high in universality.

The invention relates to a method for preparing porous titanium and tporous titanium alloy, which is characterized in that the preparing steps are as follows: Ti powder or Ti alloy powder is baked in an oven; grit-blasting coursing pretreatment is performed on the surface of a flat shape matrix or the surface of a club-shaped matrix; the cold spraying method is used to spray the prepared Ti powder or the Ti alloy powder on the matrix; and then a coating layer gained in step three is put in a vacuum heat treatment furnace for heat treatment. The invention has the characteristics of simple technology, short production cycle and low cost. The porosity of the porous titanium and the porous titanium alloy prepared by the method is distributed evenly with good controllability. The porosity of the porous titanium and the porous titanium alloy prepared by the method can be changed in the range of between 5 and 50 percent, and the intensity can be changed in the range between 30 and 75 MPa according to the porosity. The controllability of the method is good and the production efficiency is high, which is favorable for industrialization.

A metal microparticle composite is provided, which includes a film-shaped matrix resin and metal microparticles immobilized in the matrix resin. The metal microparticles are obtained by reducing metal ions or metal salts, and the particle diameters of at least 90% of all the metal microparticles are in the range of 10 nm to 80 nm. The metal microparticles that are dispersed in a plane direction parallel to the matrix resin surface in a range of depth within 150 nm from the matrix resin surface to form a metal microparticle layer, and only one metal microparticle having the diameter described is present in the direction of depth in the metal microparticles layer. The spacing between adjacent metal microparticles is greater than and equal to the particle diameter of the larger one of the adjacent metal microparticles.

The invention belongs to the technical field of molding of fan-shaped plates and relates to a one-time molding process of multiple fan-shaped plates, which is completed according to the following steps: (1) producing rectangular stamping billets according to the corresponding dimensions of the fan-shaped plates; (2) aligning more than two produced stamping billets according to the corresponding sides and mutually overlapping; (3) placing the plate surface of single stamping billet of the stamping billets after overlapping on a lower fan-shaped matrix of a stamping die in the vertical direction, and using a stop block and a movable clamping plate for positioning and clamping the stamping billets after overlapping in both the transverse direction and the longitudinal direction; (4) starting a stamping machine tool, using a sliding block of the stamping machine tool to drive an upper fan-shaped punch and the lower fan-shaped matrix with concentric circles to combine the die, and stamping the stamping billets into the fan-shaped plates; and (5) or keeping the pressure for 1-5 seconds after combining the die, starting the die, and taking out the stamped fan-shaped plates. The one-time molding process has the advantages of saving raw materials, realizing low production cost, leading the produced products to be in line with the IT14 grade precision standard. The one-time molding process is applicable to processing the flat plates to the fan-shaped plates.

The embodiment of the invention provides a method and a device for compensating absorption and attenuation of a stratum. The method comprises the following steps of: obtaining a seismic signal subjected to phase compensation at a pre-set position of a target stratum and a stratum quality factor of the target stratum; determining an amplitude-compensated gain control coefficient according to a pre-set gain control threshold value; constructing an amplitude-compensated shaping matrix according to a pre-set finite difference matrix and the gain control coefficient; obtaining an amplitude compensation action matrix of the seismic signal according to the shaping matrix, the stratum quality factor and the gain control coefficient; and carrying out amplitude compensation on the seismic signal according to the amplitude compensation action matrix and obtaining an amplitude-compensated result of the seismic signal. According to the method and device provided by the embodiment of the invention, the amplification factor of the amplitude compensation of a noise section of the seismic signal can be limited, so that the signal-noise-ratio of seismic information is guaranteed when the resolution ratio is improved.

The invention discloses a wireless communication method. The method comprises the following steps that a base station obtains a common pilot sequence, utilizes a pilot weighting matrix to carry out weighting on a common pilot symbol in the common pilot sequence on a pilot sub-frame in order to obtain a target pilot symbol and sends the target pilot symbol to a terminal; the terminal computes according to the target pilot symbol in order to obtain channel information and feeds the channel information back to the base station; the base station determines a channel shaping matrix according to the channel information and the pilot weighting matrix, carries out weighting on a data symbol according to the channel shaping matrix in order to obtain a downlink transmission data symbol and obtains a first precoding matrix indication; the base station sends the downlink transmission data symbol and the first precoding matrix indication to the terminal; and the terminal utilizes the first precoding matrix indication to demodulate the downlink transmission data symbol. The invention also provides the base station and the terminal, which are capable of realizing the wireless communication method. According to the wireless communication method, the base station and the terminal, the pilot cost can be reduced and the beam forming precision of the downlink data can be improved.

The invention discloses a special high-hardness anti-tortuous optical cable strengthening core and an optical cable using the strengthening core; the optical cable comprises a sheathed cable body, a strengthening piece and optical fibers; the sheathed cable body made of environmentally friendly halogen-free flame retardant high-elastic polyolefin materials has non-toxic environmentally friendly flame-retardant properties and can be applied to indoor laying; the strengthening piece takes aramid fibers as matrix material which then enters a die hole after being impregnated into the ultra-violet composite liquid, finally the material is extruded, stretched and solidified through UV into 0.5mm rod-shaped matrix, with the tensile force reaching more than 1800MPa; a layer of 0.2mm high-hardness bending-resistant and flame-retardant PVC high-elastic material is arranged on the rod-shaped matrix through plastic coating; the layer of material is integrated into the sheathed cable body in a parallel and symmetrical way; the fibers can be one or more in number, with a diameter of 250um; the fibers are made of easily tortuous and insensitive fiber materials; therefore, through the combination of the processes and technologies, the indoor wiring optical cable with the specification of 2 multiplying 3mm achieves high-hardness and anti-tortuous practical effects.

The invention discloses a rapid reconstruction method of a deformed antenna subreflector shape based on subreflector structure strain. The method comprises the following steps of determining the parameters of a main reflector, a subreflector and a back structure as well as operating frequency and material properties of a double-reflector antenna, and the distributional position and number of strain sensors; extracting the measured value of the strain sensors and setting up the finite element model of the antenna; determining a node at an antenna subreflector target point and a modal shape matrix corresponding to the node; determining a node at the strain sensor on the antenna subreflector and a strain modal shape matrix corresponding to the node; calculating the broad sense modal coordinate of the double-reflecting plane antenna; calculating the nodal displacement of an antenna subreflector target point; calculating the position of the antenna subreflector target point subjected to deformation according to the nodal displacement of the antenna subreflector target point and combined with the ideal position of the target pint, so as to rapidly reconstruct the subreflector shape of adeformed antenna. The method can be used for rapidly and effectively reconstructing the subreflector shape of the deformed antenna, and the double-reflecting plane antenna is conducive to meeting theindex requirement on electrical properties.

The invention relates to the technical field of coding of a low-density parity-check (LDPC) code, in particular to an algorithm for converting a non-square matrix LPDC code check matrix into a matrix with a lower quasi-triangular structure to the maximum degree, so that the anti-noise capacity of the LPDC code is enhanced. A Galois field-based algorithm for a lower quasi-triangularization process of a low-density parity-check (LDPC) code check matrix disclosed by the invention comprises the following steps of: a, converting the check matrix into a stair-shaped matrix; b, converting the stair-shaped matrix into the matrix with the lower quasi-triangular structure. The invention aims to overcome the defects in the prior art. On the premise that the sparsity of the LPDC code check matrix is not changed, the check matrix is converted into the form with the LPDC code check matrix to the maximum degree by basic elementary transformation, so that the LDPC coding performance is improved.

The invention relates a full-automatic matrix four-side self-adhesive glue coating device and a self-adhesive glue coating method. The method includes: double-sided adhesive tape is attached to release paper; a frame-shaped self-adhesive glue outline is formed, and positioning holes are formed on two sides of the release paper simultaneously; self-adhesive glue in frame-shaped self-adhesive glue is removed; the release paper on the surface of the frame-shaped self-adhesive glue is removed; a strip-shaped matrix is attached to the frame-shaped self-adhesive glue; and the matrix is cut and trimmed. The full-automatic matrix four-side self-adhesive glue coating device and the self-adhesive glue coating method can achieve full-automatic matrix four-side self-adhesive glue coating, effectively improve production efficiency, reduce labor intensity of workers, simultaneously can improve quality of the self-adhesive glue coating, and can effectively reduce production cost.

An improved insert for a chain link fence wherein a plurality of such inserts, each formed in a shape substantially the same as the square or diamond shaped matrix formed by the wires of the fence crossing over each, are connected to each other entrapping there between the wires from which the fence is formed.

The invention relates to the color image matching analyzing method based on the color contents and its distribution. The invention proceeds the matching analyzing to the input image and the referent image stored in the data base, which is a set of images with a certain special feature, based on the combination of the color histogram fuzzy correlation and the shape matrix analysis, to determine whether there is an image matching the input one in the referent image data base. It is composed of the following steps. Extract the color histogram of the input image and the referent image to determine whether the two images are matched according to the matching degree of the two histograms. Then extract the given area morphological feature of the input image to get its shape matrix, and determine the matching degree according to the comparative result between the shape matrix of the input image and the referent one. The invention is more effective than the existing relevant technique, with lower erroneous judgement rate and higher accuracy when applied to identify and analyze the imperfect image.

A method for segmenting digitized images includes providing a digitized image, selecting a point with a median enhancement greater than a predefined threshold, wherein a contrast enhancing agent was applied to the subject matter of said digitized image prior to acquisition of said image, defining a shape matrix for the selected point in said image from moments of the intensities in a window of points about said selected point, calculating eigenvalues of said shape matrix, determining an eccentricity of a structure underlying said point from said eigenvalues, and segmenting said image based on said eccentricity values, wherein the steps of defining a shape matrix, calculating eigenvalues of said shape matrix, and determining the eccentricity of the underlying structure are repeated for all points in said image.

This disclosure provides methods, apparatus and systems for performing image processing regression for approximating multidimensional color transformation. According to an exemplary method, a shaping matrix is selected to minimize a cost function associated with a local linear regression representation of the color transformation.