36 results about "Spectral mapping" patented technology

An apparatus includes a single or dual output port, dual-drive Mach-Zehnder Interferometer configured to generate a first optical signal in one path, and to generate a second optical signal in a different path. The apparatus also includes an optical spectrum analyzer configured to receive output from at least one port of the dual-drive Mach-Zehnder Interferometer. A method includes causing radio frequency signals from two different antennae to modulate an optical carrier at a corresponding drive of a dual-drive Mach-Zehnder Interferometer, and causing output from at least one port of the Mach-Zehnder Interferometer to be directed to an optical spectrum analyzer. The method further comprises determining arrival angle at each of a plurality of frequencies in the radio frequency signals based on output from the optical spectrum analyzer.

The invention discloses an image segmentation method based on characteristic importance sorting spectral clustering, aiming to solve the problems of high complexity and poor stability of the existing spectrum clustering. The realization process comprises the following steps: (1) extracting grey level value characteristic, grey level co-occurrence characteristic or wavelet characteristic from an image to be segmented; (2) performing normalization to the characteristic data; (3) calculating the importance of all the samples according to the normalized characteristic data; (4) sequencing the importance of all the samples, selecting 100 samples with high importance as a sample subset for sampling; (5) according to a method, using the selected sample subset to solve the characteristic vector space of all the samples which are processed through spectral mapping, using the characteristic vector corresponding to k characteristic values of the given clustering number for dimensionality reduction; and (6) performing k-means clustering to the obtained data, and outputting the final image segmentation result. Compared with the existing spectral clustering method, the method has stable result and low complexity, the image segmentation result is obviously increased and the method can be used for target detection and target recognition.

A new method for curative radiofrequency AF ablation to achieve the inactivation or distruction of fibrillar myocarcium and of the AF nests. In addition, evidence that fibrillar myocardium could be of the real AF substratum was found. Identified and mapped by spectral analysis and phase study of the tissue, which seems to have intermediate features between nervous and myocardium. The procedure by transeptal puncture which requires only one catheter for ablation and mapping. The new method may be localize the application targets even during arrhythmia.

The invention discloses a SOD-IRK based time-delay power system stability determination method. The SOD-IRK based time-delay power system stability determination method comprises: establishing a time-delay power system model; using different implicit Runge-Kutta methods to discretize solution operators to obtain a discretized matrix of the solution operators; transforming an eigenvalue problem ofinfinite dimension into an eigenvalue problem of finite dimension; using an implicit Arnoldi algorithm to calculate an approximate value of the eigenvalue having the maximum modulus, of the discretized matrix of the solution operators; using a rotation-amplifying method to perform preprocessing during calculation, and performing sparse implementation by using the properties of a Kronecker product;transforming the approximate value of the eigenvalue having the maximum modulus, of the discretized matrix into the approximate eigenvalue of the time-delay power system model according to the spectral mapping relationship; using the Newton iteration method to correct the approximate eigenvalues to obtain the exact eigenvalues of the time-delay power system; and determining the stability of the time-delay power system according to the magnitude of the exact eigenvalue damping ratio.

The invention discloses a method for calculating the electromechanical oscillation mode of a time-delay power system based on an SOD-PS-II-R algorithm. The method comprises the following steps: establishing a time-delay power system model; discretizing the solver of the power system model by a pseudo-spectral method, and obtaining a discretized matrix of the solver of the time-delay power system model; by a coordinate rotation preprocessing method, rotating the discretized matrix of the solver and performing approximating to obtain the discretized approximation matrix of the solver, and calculating the eigenvalues whose modulus values are greater than 1 of the rotated discretized approximation matrix of the solver; by using a sequential method or a subspace method, finding a set number ofeigenvalues having the maximum modulus values of the discretized approximation matrix of the solver from the eigenvalues whose modulus values are greater than 1; and processing the set number of eigenvalues with the maximum modulus values by spectral mapping, coordinate anti-rotation and Newton's check, and finally obtaining an eigenvalue of the time-delay power system model, which corresponds tothe electromechanical oscillation mode of the time-delay power system.

The invention discloses a pansharking method for gray scale amplitude modulation based on spectrum mapping. The method comprises: firstly, a spectral mapping conversion matrix T is solved by establishing a variational model, and a high spatial resolution image (P _ HCM) with a certain spectral resolution is obtained. Then, carrying out spatial filtering on the image obtained after spectrum mappingto generate spatial details with spectrum information, and injecting the spatial details into the up-sampled MS image to obtain an HR _ MS image with higher resolution; and finally, based on the brightness amplitude modulation (SFIM) principle of smooth filtering, obtaining a final fusion image (HRMS) with high spatial and spectral resolution. On the basis of a traditional pansharking method, thespectrum and spatial information of the HRPAN image and the LRMS image are fully mined, on the premise that the spatial structure information is well kept, good spectrum fidelity is achieved, and a fused image with a good visual effect can be obtained.

An apparatus and method for optical probing of a DUT is disclosed. The system enables identifying, localizing and classifying faulty devices within the DUT. A selected area of the DUT is imaged while the DUT is receiving test signals, which may be static or dynamic, i.e., causing certain of the active devices to modulate. Light from the DUT is collected and is passed through a transparent diffracting grating prior to imaging it by a sensor and converting it into an electrical signal. The resulting image includes the zero order and first order diffraction of the grating. The grating is configured such that the zero order is in registration with emission sites imaged when the grating is outside the optical path.

The invention discloses a method for designing a modular complex product based on spectral features. The method comprises a step of taking a structure, a function and a physical association as three factors that affect the correlation strength between components, quantifying the correlation strength from the three aspects, setting a weight ratio, calculating a comprehensive correlation strength between the components, and constructing a design structure matrix, a step of combining the graph theory and applying singular value decomposition to extract first k largest spectral features of the design structure matrix and corresponding feature vectors to form a streamlined spectral mapping space, a step of using a k-means algorithm to perform clustering operation in the space to obtain a program set of module division, and a step of selecting an optimal division scheme by using an extended weighting modularity EWQ function and combining and modeling modules in the optimal scheme in a software environment to obtain a three-dimensional model of a loader working device. According to the method, products with performance and specifications in response to client requirements can be quickly achieved according to the client requirements, and the modular design of a wheel loader working device is achieved.

The invention discloses a method for calculating the electromechanical oscillation mode of a time-delay power system based on a low-order SOD-PS-II-R algorithm. The method comprises the following steps: establishing a time-delay power system model; rewriting a mathematical model of the time-delay power system to realize order reduction of the dimension of the solver of the mathematical model; discretizing the solver of the time-delay power system model by a pseudo-spectral method to obtain a discretized matrix of the solver; by a coordinate rotation preprocessing method, rotating the discretized matrix of the solver and performing approximating to obtain the discretized approximation matrix of the solver, and calculating the eigenvalues whose modulus values are greater than 1 of the discretized approximation matrix of the solver; by using a sequential method or a subspace method, finding a set number of eigenvalues having the maximum modulus values of the discretized approximation matrix of the solver from the eigenvalues whose modulus values are greater than 1; and processing the set number of eigenvalues with the maximum modulus values by spectral mapping, coordinate anti-rotation and Newton's check, and finally obtaining an eigenvalue lambda of the time-delay power system model, wherein the eigenvalue lambda corresponds to the electromechanical oscillation mode of the time-delay power system.

The invention discloses an optical filter with the spectrum analysis function and an implementation method thereof. The implementation method comprises the following steps that optical signals enter a polarization conversion unit through an optical circulator and a collimator array to be converted to be of the same polarization state; beam expanding is performed in the X direction through an optical signal beam expanding unit, and beams are projected to diffraction gratings; chromatic dispersion is performed through the diffraction gratings according to different wavelengths, and the beams are reflected to a third-column cylindrical lens in the X direction and injected onto a triangular reflector with a driving mechanism; a control unit controls the driving mechanism to change the position of the triangular reflector so that the triangular reflector can only reflect the optical signals of the wavelength corresponding to the position of the triangular reflector; the reflected optical signals are returned back to the collimator array according to the original path, and output to the optical circulator through the collimator array, an optical detection unit detects the wavelength and light intensity of the optical signals output by the optical circulator, and a continuous spectrogram is obtained through recording. Spectrum analysis is achieved on the optical filter, and the application range of the optical filter is greatly enlarged.

The invention discloses a hyperspectral image super-resolution realization method and system. The method comprises the following steps: amplifying an original hyperspectral image into a low-resolution hyperspectral image with the same size as expected output in an interpolation mode; inputting the low-resolution hyperspectral image into a spatial-spectral feature extraction network to generate a high-resolution hyperspectral image, the spatial-spectral feature extraction network comprising a spectral mapping network, a spatial reconstruction network and a spatial-spectral fusion network; inputting the low-resolution hyperspectral image into the spectral mapping network and the spatial reconstruction network, performing spectral feature extraction and spatial information feature extraction respectively in the two branch networks to reconstruct spectral information and spatial information; and using a spatial-spectral fusion network to fuse the spectral information and the spatial information output by the spectral mapping network and the spatial reconstruction network to generate a high-resolution hyperspectral image. Better performance is embodied in the aspects of spatial information recovery and spectral information storage.

Semiconductor device identification using quantum dot technology. A semiconductor nanocrystal based target is fabricated. A guard ring superjacent the fluorescing surface of the nanocrystal surface is provided to ensure repeatability of spectral mapping and analysis data. A transparent cap on the target may enhance performance. A system for coding a semiconductor device is described. A method is described for fabricating quantum dot targets in a methodology compatible with subsequent semiconductor fabrication process steps.

The invention provides a PSOD-based efficient eigenvalue analysis method and system for a time-delay power system, and the method comprises the steps: obtaining a partial solver discretization matrixof the time-delay power system through employing a PSOD method according to the obtained operation state data of the time-delay power system; utilizing a subspace method to calculate a preset number of first characteristic values of the discretization matrix of the solver part; performing spectral mapping, reverse rotation amplification and Newton's check on the first characteristic value in sequence to obtain a characteristic value of the time-delay power system, wherein in the subspace method, a to-be-inversed matrix in a partial solver discretization matrix is expressed as a form of Schur compensation, an expression of a product of inverse and a vector of the matrix is obtained by utilizing the form of the Schur compensation, and a product of inverse and the vector of the matrix is solved by utilizing an inverse power method; the matrix inverse vector product is prevented from being iteratively calculated by using an iterative method, and the solution of the matrix inverse vector product can be obtained only by using a one-time inverse power method, so that the calculation amount of the matrix inverse vector product is remarkably reduced.

The invention discloses a heterogeneous cross-project software defect prediction method based on nuclear spectrum mapping migration integration, which includes preprocessing source data based on an over-sampling unbalanced learning process; the source data is historical defect data of software projects; According to the difference information between the source data and the target data distribution, and the information loss caused by spectral mapping, the target function is constructed; the target data is the heterogeneous cross-project software to be predicted; the original space is mapped to multiple high-level by multi-core learning dimensional space, optimize the objective function on each high-dimensional space to find the optimal common subspace, train a classifier on each common subspace; use ensemble learning to comprehensively integrate all the classifiers , generate a prediction model; predict the label of the target data according to the prediction model. This method has a higher defect prediction accuracy and is beneficial to improve the work efficiency of software testing.

The invention discloses a light-weight substance mass determination method based on a near-infrared spectrometer. The method comprises the following steps: A, respectively defining two light-weight substance samples as a control group and a prediction group; B, measuring the mass of the control group sample by using a weighing device; C, collecting spectral data of samples of the control group andthe prediction group by using a near-infrared spectrometer; D, comparing the obtained spectrum data of the control group and the prediction group, and calculating a spectrum mapping relationship therebetween; and E, calculating the mass of samples of the prediction group by combining the mass of the samples of the control group and the spectral mapping relationship. The determination method can effectively solve the problem that the same kind of light substances with different masses need to be weighed by a micrometer balance, so the measurement efficiency can be improved to a great extent, and the labor cost is reduced.