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1034 results about "Column vector" patented technology

In linear algebra, a column vector or column matrix is an m × 1 matrix, that is, a matrix consisting of a single column of m elements,

Method and apparatus for coordination of motion determination over multiple frames

PCT No. PCT / EP96 / 01272 Sec. 371 Date Nov. 21, 1997 Sec. 102(e) Date Nov. 21, 1997 PCT Filed Mar. 22, 1996 PCT Pub. No. WO96 / 29679 PCT Pub. Date Sep. 26, 1996The present invention concerns improved motion estimation in signal records. A method for estimating motion between one reference image and each frame in a sequence of frames, each frame consisting of a plurality of samples of an input signal comprises the steps of: transforming the estimated motion fields into a motion matrix, wherein each row corresponds to one frame, and each row contains each component of motion vector for each element of the reference image; performing a Principal Component Analysis of the motion matrix, thereby obtaining a motion score matrix consisting of a plurality of column vectors called motion score vectors and a motion loading matrix consisting of a plurality of row vectors called motion loading vectors, such that each motion score vector corresponds to one element for each frame, such that each element of each motion loading vector corresponds to one element of the reference image, such that one column of said motion score matrix and one motion loading vector together constitute a factor, and such that the number of factors is lower than or equal to the number of said frames; wherein the results from the Principal Component Analysis on the motion matrix are used to influence further estimation of motion from the reference image to one or more of the frames.
Owner:IDT INT DIGITAL TECH DEUTLAND

Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals

The invention discloses a clustering-based blind source separation method for synchronous orthogonal frequency hopping signals. The method comprises the following steps of: acquiring M sampled paths of discrete time-domain mixed signals; obtaining M time-frequency domain matrixes of the mixed signals; preprocessing the time-frequency domain matrixes of the frequency hopping mixed signals; estimating frequency hopping moments, normalized mixed matrix column vectors and frequency hopping frequency; estimating time-frequency domain frequency hopping source signals by utilizing the estimated normalized mixed matrix column vectors; splicing the time-frequency domain frequency hopping source signals between different frequency hopping points; and recovering time-domain source signals according to time-frequency domain estimate values of the source signals. According to the method, the frequency hopping source signals are estimated only according to the received mixed signals of a plurality of frequency hopping signals under the condition of unknown channel information, and the frequency hopping signals can be subjected to blind estimation under the condition that the number of receiving antennae is smaller than that of the source signals; short-time Fourier transform is utilized, so that the method is low in computation amount; and the frequency hopping signals are subjected to blind separation, and meanwhile, a part of parameters can also be estimated, so that the method is high in practicability.
Owner:XIDIAN UNIV

Method for identifying facial expressions from human face image sequence

The invention relates to a method for identifying facial expressions from a human face image sequence, belonging to the technical field of analyzing and identifying human facial expressions. The method of the invention comprises the following steps of: firstly, adopting a method for tracing feature points, sequentially extracting the displacement amount of the normalized facial key point and the length of the special geometrical characteristic for each frame image of the expression image sequence, and combining the data to form a characteristic column vector; secondly, sequentially arranging all characteristic column vectors of the sequence to form a characteristic matrix, wherein each characteristic matrix represents a facial expression image sequence; finally, comparing the similarities among the characteristic matrixes by using a canonical correlation analysis method, thereby determining the human face images to be identified into one of the basic expressions of happiness, sadness, fear, hate, surprise and anger. In the invention, the canonical correlation analysis method is successfully applied to identifying the human facial expressions, the dynamic information in the expression generation course is utilized effectively and the higher recognition rate and the shorter CPU computation time are acquired.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Machine learning-based wireless sensing motion identification method

The invention discloses a machine learning-based wireless sensing motion identification method which comprises the following steps: a step of data collection, a step of data denoising operation, a step of feature extraction and a step of SVM model training and identifying operation. During data collection operation, absolute value of a group of CSI data collected on each sampling point is obtained and is read into a 30*Nr*Nt matrix form. A PCA mode is mainly adopted for the data denoising operation. Feature extraction operation can be conducted based on discrete wavelet transformation. To make SVM model training convenient, training samples are subjected to Kmeans clustering operation via the machine learning-based wireless sensing motion identification method, n clustering centers can be used as word bags, and voting operation is performed based on feature vectors and best matching items of all the word bags; when the matrix form feature vectors are converted into column vectors, SVM model training can be realized conveniently. The machine learning-based wireless sensing motion identification method is a human body behavior identification method which is high in identification accuracy and high in robustness for environment change.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Human face detection method based on picture geometry

The invention discloses a face detection method based on a picture geometric structure, comprising a training process of face models and a detecting process of face images. The method comprises the following: the step of the training process of face models is divided into a step of training sample normalization, a step of feature extraction, a partitioning step of dividing a sample by adopting a block with a proper size, a step of drawing all differential values acquired by operations into a feature column vector to submit to a classifier for learning, a learning process of a fall type support vector machine and a classification against a sample picture in each window by using a cascade classifier; and the step of the detection of face images is to mark a detected face. The face detection method solves the problem generally existed in the field that the prior art aims at the local structure of a picture but can not completely and accurately express global information of the picture, and can detect a face quickly and accurately.
Owner:TSINGHUA UNIV

A low-sidelobe emission directional diagram design method improving DOA estimated performance of a MIMO radar

ActiveCN105467365AVector number reductionGuaranteed approximationWave based measurement systemsEngineeringRandomization
The invention relates to a low-sidelobe emission directional diagram design method improving DOA estimated performance of a MIMO radar. The method comprises the following steps: setting an interesting area; ensuring column vectors of a beam space weighting matrix to satisfy pairing characteristics; ensuring signals at a receiving end to satisfy rotation invariance; constructing an optimized model of a beam space weighting matrix with directional diagram coupling characteristics, rotation invariance of the signals and equality of various array element emission powers as constraint conditions; introducing an auxiliary variable and relaxing a rank-1 constraint to be a positive semidefinite constraint through utilization of the semidefinite relaxing technology; and through utilization of an interior point method, obtaining an optimal solution of the relaxing problem; through a Gaussian randomization method, the beam space weighting matrix is solved; and DOA estimation is carried out on a target at the receiving end through the ESPRIT algorithm. The MIMO radar waveform design technology which is good in performance in the invention can raise the signal to noise ratio at the receiving end, provide an important theoretical basis and a specific realization method for raising the precision of MIMO radar angle estimation.
Owner:THE PLA INFORMATION ENG UNIV

Active power distribution network transient state real-time simulation system designing method based on FPGA

The invention relates to an active power distribution network transient state real-time simulation system designing method based on an FPGA. The active power distribution network transient state real-time simulation system designing method can be implemented in an off-line simulation environment and an on-line simulation environment in a dividing mode, the off-line simulation environment is responsible for calculating the total clock period number-n<total> and simulation using time-t<total> calculated in each time step, the simulation step size deltat is set according to the real-time simulation using time-t<total>, relevant parameters calculated according to the simulation step size deltat and the read basic parameter information are uploaded to the on-line simulation environment based on the FPGA. Real-time simulation calculation is completed in the on-line simulation environment, the simulation state is controlled through a finite-state machine, each time step includes the steps of historical item current source column vector calculation of all elements, total historical item current source column vector formation of the elements and linear equation system solving and updating of the elements, and the historical item current source column vector calculation step of the elements and the updating step are completely independent and can be processed in a concurrent mode. According to the active power distribution network transient state real-time simulation system designing method based on the FPGA, the real-time performance of the transient state simulation process of the whole system is guaranteed, and the good feasibility and the good applicability are achieved.
Owner:GUANGDONG POWER GRID CO LTD +2

Pre-coding method and pre-coding system and construction method of pre-coding code book

ActiveCN101631004AGuaranteed Nested PropertiesGood beamSpatial transmit diversitySignalling characterisationPrecodingCode book
The invention discloses a pre-coding method, a pre-coding system and a construction method of a pre-coding code book. A transmitting terminal and a receiving terminal are used for storing the information of the pre-coding code book together; a code word is selected from the pre-coding code book by the receiving terminal according to an estimated channel matrix; the sequence number of the code word is fed back to the transmitting terminal; and symbol blocks transmitted to the receiving terminal are pre-coded through the code word by the transmitting terminal according to the code word found by the sequence number, wherein column vectors in at least eight code word vectors or at least eight code word matrixes in the pre-coding code book are obtained on the basis of an eight-dimensional vector selected from an eight-dimensional vector set, and the eight-dimensional vector set is obtained by computing partial or all four-dimensional vectors of u1, u2, u3, u4, u5, u6, u7, u8, s, m and n. The pre-coding method is used for the pre-coding of eight-antenna MIMO systems when the channel matrix is a singular matrix, and can enhance the pre-coding property. The four-dimensional vectors used for computing the code word can be stored only for saving storage space.
Owner:ZTE CORP

Method for simply and easily calibrating industrial robot

The invention relates to a method for simply and easily calibrating an industrial robot. The method comprises the following steps of: establishing an industrial robot kinematics model, and solving a robot kinematics pose transfer matrix; extracting a robot end position component, and calculating an error transfer matrix; operating a robot end clamp to contact four side edges of a standard cube, reading a code disc number of each joint of the robot, and calculating a position coordinate; changing the pose of the standard cube, reading the code disc number of each joint of the robot again, calculating the position coordinate, and repeating the step for many times; and listing position coordinate matrix equations with an identification parameter, and arranging the position coordinate matrix equations in a manner of Ax=b, wherein A is of a matrix type, x is a column vector with the identification parameter, and b is the column vector, and if A is not strange, a parameter to be identified is solved, and the original parameter is corrected by using the identification result. The method disclosed by the invention has the advantages of convenience, practicability, lower cost, more simpleness on operations, capability of reaching a higher precision, and unnecessity of buying high-precision equipment, such as a high-precision laser instrument and a vidicon.
Owner:SHENYANG SIASUN ROBOT & AUTOMATION

Binary chop tracking method of shortest paths in network map

InactiveCN101788999AHigh speedOvercoming reverse order search and trace thinkingSpecial data processing applicationsAlgorithmStep number
The invention discloses a binary chop tracking method of shortest paths in a network map, which is characterized in that the method comprises the following steps: extracting the step number of the shortest paths from a source node to a gathered node according to a shortest path step number matrix; reducing and separating the step number by half into the front step number and the back step number; searching nodes with the step number equal to the front step number in a source node row vector of the shortest path step number matrix, using the nodes as a front step number node set, searching nodes with the step number equal to the back step number in a gathered node column vector of the shortest path step number matrix, using the nodes as a back step number node set; taking an intersection set of the front step number node set and the back step number node set as middle nodes; using each node in the intersection as the reference; using the method for solving the middle node of the source node and the node, and the middle node of the node and the gathered node until the shortest path step number between the solved nodes is 1; and sequentially inserting the middle nodes into corresponding positions to obtain all shortest paths from the source node to the gathered node. The method of the invention is used for finding all shortest paths between two points, and the invention can provide various schemes for the preferential path selection of the network map abstracted from actual data.
Owner:ANHUI UNIVERSITY

Multi-source image fusion method based on synchronous orthogonal matching pursuit algorithm

The invention discloses a multi-source image fusion method based on the synchronous orthogonal matching pursuit algorithm. The multi-source image fusion method comprises the following steps: sampling a source image pixel by pixel in an overlapping manner into image blocks of the same size by a sliding window of the fixed size and expanding each image block by columns into column vectors; obtaining the sparse representation coefficient corresponding to each vector on the over-complete dictionary by the synchronous orthogonal matching pursuit algorithm; fusing the corresponding coefficient by the maximum absolute value method; inverse-transforming the fused sparse representation coefficient into the fusion result vector of corresponding to the vectors according to the over-complete dictionary; and restoring all the fusion result vectors to image blocks and re-constructing to obtain the fused image. The invention fully considers the intrinsic characteristics of the image sparsity and the method using sparse representation can more effectively present the useful information of each source image and achieve better fusion effect, therefore, the invention is of great significance and practical value to the post-processing and image display of various application systems.
Owner:HUNAN UNIV

Time-frequency transform based method for identifying parameters of synchronous generator

The invention provides a time-frequency transform based method for identifying parameters of a synchronous generator. The method includes steps of S1. carrying out Laplace transform on a differential equation of a d axle and a q axle of a generator in time domain in a generator model to obtain an equation of the d axle and the q axle of the generator in frequency domain, and carrying out inverse Laplace transform to obtain an integral equation of the d axle and the q axle of the generator in the time domain; S. replacing state variable of the integral equation of the d axle and the q axle of the generator in the time domain; S3. dispersing the integral equation of the d axle and the q axle of the generator in the time domain into that measurable column vectors or integration of the measurable column vectors are equal to a matrix multiplying by column vectors of coefficients of the integration equation, and solving to obtain the column vectors of the coefficients of the integration equation; and S4. solving to obtain parameters of the generator model according to the relation between the column vectors of the coefficients of the integration equation and parameters of the generator. A differential equation of a generator is converted to an integration equation according to the time-frequency transform based method for identifying the parameters of the synchronous generator, stability of calculating a value is facilitated, and the problem of an unstable identification result is solved.
Owner:STATE GRID CORP OF CHINA +2
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