43results about How to "Reduce sampling points" patented technology

The invention discloses a space calibrating body and method based on a virtual ball. According to the space calibrating body and method based on the virtual ball, calibration is conducted in the form that a standard bar piece is separated from a base, a laser tracker is adopted to serve as measurement equipment, and a hard aluminum alloy plate is adopted by the base to serve as an installation platform of the standard bar piece. The space calibrating method based on the virtual ball comprises the steps that the space calibrating body which has three degrees of freedom is manufactured firstly, threads are machined at the two ends of the standard bar piece, one end of the standard bar piece is fixed to the hard aluminum alloy plate, the other end of the standard bar piece is used for fixing the body of the virtual ball, a regular octahedron with the top end cut off serves as the body of the virtual ball, a cone nest is machined on each face of the virtual ball, and then the virtual ball is calibrated with the laser tracker serving as the measurement equipment. The space calibrating body and method based on the virtual ball have the advantages that the precision is high, machining requirements for the standard piece are low, the number of needed sampling points is small when the space calibrating body and method are used, the calibrating efficiency is improved, and the sampling workload is greatly reduced and the calibrating efficiency is improved when an articulated type coordinate measuring machine is calibrated.

The invention provides a method for positioning a pseudo base station. The method comprises the following steps that (I) a signaling collection system acquires and filters location updating signaling of a user; (II) a location area of the pseudo base station is determined and is divided into location blocks; (III) a high-risk location block is determined; (IV) the pseudo base station is positioned by applying rayleigh distribution based on signal attenuation and a cooperative positioning technology based on an electromagnetic wave free space propagation model. According to the method, the area where the pseudo base station appears can be obtained in real time, and accurate positioning can be performed in the area; the problems that a traditional positioning method is slow in response and low in accuracy are solved, resources of law enforcement are saved, the pseudo base station can be effectively fought against, and normal network communication is protected.

The invention provides a cyclically symmetrical preamble signal sending system and method, and a cyclically symmetrical permeable signal receiving system and method. The cyclically symmetrical permeable signal sending method comprises the following steps: generating a first time-domain basis symbol with a length of N; cyclically shifting the first time-domain basis symbol leftwards or rightwards by m sampling points, so that a second time-domain basis symbol with a length of N is obtained; carrying out repeated and alternate cascading extensions on the first time-domain basis symbol and the second time-domain basis symbol to obtain a random length, so that a preamble symbol is formed; carrying out signaling or data frame cascading behind the preamble symbol, so that a preamble baseband frame is formed; and modulating the preamble baseband frame into a radio frequency signal, and sending the radio frequency signal. The cyclically symmetrical preamble signal sending system and method and the cyclically symmetrical permeable signal receiving system and method provided by the invention have the advantages that timing estimation is more accurate, so that the timing estimation performance is greatly improved; regarding decimal carrier frequency offset estimation, the frequency offset estimation accuracy is improved; and the number of sampling points that are needed for sliding for peak detection is smaller, so that the detection time is shorter.

The invention discloses a transformer inrush current detection method and inrush current detection equipment and a computer readable storage medium. The inrush current detection method comprises the following steps: sampling at least one part of a current signal of the transformer to obtain a numerical matrix; providing the numerical matrix as an input to an inrush current detection neural network; and calculating and outputting a tag vector corresponding to the numerical matrix by the inrush current detection neural network, wherein the tag vector indicates whether the current signal is inrush current or not.

The invention discloses an in-system programming universal PFC (Power Factor Correction) multifunctional processor. The multifunctional processor comprises full-wave rectification circuit, a DC / DC converting circuit and a PFC processor, and is characterized in that the full-wave rectification circuit converts AC commercial power into DC, the DC is output by a DC / DC converter, and the DC / DC converter is controlled by the PFC processor. The in-system programming universal PFC multifunctional processor has a simple and convenient processing procedure, and does not need frequent modification of hardware circuits; the various main-control MCU chips are adopted, the secondary development technology is easy to master, and the extensible functions are rich, so that EMI (Electromagnetic Interference) in the circuit can be effectively reduced.

The present invention relates to a method and equipment for correcting the total ammeter reading of a turnout based on the least squares method, wherein the method includes: step S1: multiple times of turning the turnout, recording the displayed current value of the station and the actual measured current value on the spot each time the turnout is moved, And the displayed current value and the measured current value during the same action are regarded as a binary data set; Step S2: based on the data set obtained for each action combined with the origin of the coordinates, the fitting function is calculated by the least square method; Step S3: When After receiving the first-time corrected switch current value, the first-time corrected switch current value is substituted into the fitting function to obtain the secondary correction result and output. Compared with the prior art, the present invention adopts a method for correcting the readings of the total ammeter of the turnout based on the least square method, and performs secondary correction on the basis of a single correction algorithm, so that the reading of the total current of the turnout can be corrected to a greater extent, which is more accurate. Accurately reflect the total current value of the turnout.

The invention discloses an image texture feature extraction method based on a nested triangular structure, relating to a brand new gray different triangle matrix (GDTM). By extracting the gray difference of the nested triangle vertexes of the image at different positions and angles, counting the frequency of the gray difference, and performing normalization calculation to obtain a triangle matrix. The GDTM can reflect the distribution features of the brightness change, can reflect the comprehensive information of the image in different directions and different interval brightness changes, and is the image brightness change second-order statistic characteristic based on a triangle geometry structure. The texture characteristic quantity calculated on the basis of the invention can visually and effectively represent the image texture condition, compared with the conventional texture statistic feature extraction method such as the grey level cooccurrence matrix, the image texture feature extraction method provided is less in calculated quantity, is resistant to illumination change and RST change, can improve the description effect of large textures, and is an effective image texture feature extraction method.

The invention discloses a method for reconstructing multi-spectral information calculation based on principal component analysis. The method comprises the following steps of: 1, acquiring two paths of multi-spectral images; 2, performing principal component analysis on the spectral information of sampling points of the multi-spectral images to obtain a principal component spectral vector basis; and 3, reconstructing the spectral information on the unknown spectral points according to the principal component spectral vector basis, red, green and blue (RGB) vectors which are acquired by a camera, an R channel integral curve of the camera, a G channel integral curve of the camera and a B channel integral curve of the camera. By the method, multi-spectral information can be more simply and more quickly reconstructed; the required scene spectral sampling points are few; and principal components of the multi-spectral information can provide instructive significance for related research.

The present invention discloses a halftone processing of image and text auto detection, which is used to keep both the bit depth of images and the clarity of text when faxing or copying documents. The process of the present invention is stated as follows: choose the background color from the master copy, separate the content of the master copy into images and text with the chosen background color as the criterion, process the images with halftone processing, process the text with line art processing, and then output the processed images and processed text as a whole.